Contextualize isolated feedback motifs with archived whole-brain input accounting

2026-09-30 01:07:42 +08:00
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 - [预先声明的诊断方案](models/male-cns-lif/lif-semantics-audit-v1/PROTOCOL.md)
 - [新阶段校验清单](registry/phase4ac-lif-semantics/seal-verification.json)
 - [上一轮末梢作用范围诊断](docs/progress/phase4ab-terminal-scope.md)
 - [小回路与全脑背景的只读复核](docs/progress/feedback-context-review-20260930.md)
 ## 后续只读复核的重要限制
 所选五节点只贡献三个 ALLN 晚期正到达权重的 7.57%–8.99%；达到各自80%正输入需要49–52个来源。
 因此孤立小回路可以自持，不意味着它是全脑唯一原因。回路外输入也可能受该回路反馈影响，不是已证明独立的外源驱动。
 对旧数据的派生分解没有新模拟或训练；正输入比例不能当因果责任比例。
 独立新模型分支尚待用户确认，不把持续目标自动当作改变冻结动力学的许可。
 ## 新增机制证据
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 # 小反馈环在全脑中的位置：充分性不等于唯一原因
 这是对既有封存记录的只读复核，不是新的训练阶段或新模型。
 使用六个旧校准气味、seed 131101 的全部 frozen_reference 记录，没有运行新模拟，也没有使用 held-out 输入。
 ## 新量化结果
 晚期时窗为 500–1,000 ms，下表逐气味统计后列范围。
 比例分母为该目标的全部正突触到达权重之和，不是净输入、g 轨迹、电压贡献或因果责任。
 | 目标 | 五节点小回路内部正输入比例 | 正输入来源神经元数 | 累计80%正输入需要的来源数 |
 |---|---:|---:|---:|
 | ALLN 1197 / body11289 | 8.96%–8.99% | 197 | 49 |
 | ALLN 1381 / body11478 | 7.86%–7.89% | 214 | 51 |
 | ALLN 1511 / body11620 | 7.57%–7.60% | 205 | 52 |
 | VA6 PN 133666 / body527577 | 10.18%–10.22% | 119 | 31 |
 | KC 82312 / body109321 | 36.16%–36.39% | 8 | 4 |
 因此，4AC 的小回路能在隔离条件下持续放电，但其成员在全脑里接收了大量回路外输入。
 不能据此把某两条边定为唯一病因，或者认为只修两枚细胞就能解决学习问题。
 “回路外”仅表示不属于所选五节点；这些来源仍可能受该小回路反馈影响，**并非已经证明独立于该回路**，也不是外部刺激。
 ## 同时公开已有条件回放，避免只挑支持某个解释的结果
 | 目标 | 基线晚期 spike | 忽略ALLN到达 | 忽略ALPN到达 |
 |---|---:|---:|---:|
 | ALLN 1197 | 228 | 217–218 | 227 |
 | ALLN 1381 | 227–228 | 227–228 | 227 |
 | ALLN 1511 | 228 | 219–221 | 227–228 |
 | VA6 PN 133666 | 212–214 | 0 | 208–210 |
 | KC 82312 | 60–61 | 60–61 | 0 |
 这些结果来自已封存 Phase 4Z，不是本轮重新模拟；回放固定其他已记录输入和 APL，不能替代实时全脑干预。
 ALLN 原本已接近模型不应期限制，放电计数相同不等于膜状态或输入没有影响。
 PN→KC 中有些比例并不占绝大多数的输入仍能决定阈值跨越，不能按比例大小直接删边。
 4Z 当时没有孤立回路自持的证据；4AC 已补上数学模型下的孤立充分性。
 二者合起来仍没有证明该小回路在全脑中的必要性、唯一性或真实果蝇中的同样动力学。
 ## 对下一步的实际影响
 独立新模型实验若获授权，应先核对原作者算子，再检验分布式局部反馈与输入特异性；不把两神经元回路上的改善直接外推全脑学习。
 仍不得靠提高抑制、改符号、调学习率/阈值或扩大mask来追求通过。
 在此之前，本轮不会启动替代动力学、conditioning、游戏或decoder。
 来源与逐试次完整表：`registry/feedback-context-review-20260930/`。
 9个输入文件均对照原有封存manifest核验，前后字节一致；13条小回路边与旧事件会计的源、目标、count逐条一致。
 全部输出有manifest和SHA-256。后续更新应新增材料，不重写已封存数据。
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 # Feedback motif contextualization — read-only review
 This is not a new learning stage, intervention or model. Source: six archived calibration odors, one seed 131101, frozen_reference; all cases retained.
 Late interval 500–1,000 ms. Fractions measure positive arrived weights, not causal importance, g attribution or net excitation after inhibition/APL.
 | Target idx / type | Five-node internal positive input | Positive sources | Sources needed for 80% | Base late spikes | omit ALLN | omit ALPN |
 |---|---:|---:|---:|---:|---:|---:|
 | 1197 / lLN1_bc | 8.96–8.99% | 197–197 | 49–49 | 228–228 | 217–218 | 227–227 |
 | 1381 / lLN1_bc | 7.86–7.89% | 214–214 | 51–51 | 227–228 | 227–228 | 227–227 |
 | 1511 / lLN1_bc | 7.57–7.60% | 205–205 | 52–52 | 228–228 | 219–221 | 227–228 |
 | 82312 / KC | 36.16–36.39% | 8–8 | 4–4 | 60–61 | 60–61 | 0–0 |
 | 133666 / VA6_adPN | 10.18–10.22% | 119–119 | 31–31 | 212–214 | 0–0 | 208–210 |
 ## Consequence for the next experiment
 The two-cell loop can sustain activity in isolation, but the full-brain watched ALLNs receive most positive input from outside the five-cell motif. Do not target only this pair as the established unique cause.
 Existing conditional omissions freeze other recorded events: removing ALLN arrivals still leaves PN/other recorded drive. This establishes conditional sufficiency of residual input, NOT that an ALLN knockout in the live brain would fail.
 Likewise a large input fraction is not a causal fraction; small inputs can matter near threshold. The VA6->KC edge illustrates why fractions alone are not a deletion target ranking.
 Future separately authorized model tests should first validate operator semantics, then assess distributed local feedback and preservation of stimulus information, before learning. No gain/threshold/eta/mask tuning is licensed by this table.
 No new simulations, learning, weights or frozen-file changes. No heldout data used. Usable associative learning remains unachieved.
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 0c3c6db65be1f886f43e6c1d626d11086a41d739c3b74e8789ea14dd99b8ac5c  REPORT.md
 980024748379a30d470672e2fce6b4a0b1ad636a4f54ff630c1f10f1bd0fa387  context-fractions.csv
 1f3e85da1527d3ae4720b6f0673ce1e90ad3739c992fbe25753a8c688e8ec01c  existing-conditional-replay.csv
 320a33e0a21653091c25c4eaf07b949accd2a7ce6d5918c440ad07e09b6ffed0  protocol.json
 c6415f02fc8832830ce6f8b260583fe2e16964540b2ba49c527a67de4e14f518  source-neuron-fractions.csv
 29384ffd4844d46019a8e65c314f22a09f86d4645806107f07ce8b5de7c93962  source-type-fractions.csv
 c53fefb51bad059f176f90ecf53fa2ea3c53e57f710a88c3f61f5004a5d6ad67  summary.csv
 d7e99c7af2a28424d064eb025b0ff05b93242c2f285263d966ca63a568c25ee8  verification.json
@@ -0,0 +1,271 @@
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 1-131101-frozen_reference,input_on,82312,109321,KC,five,True,1441.82501283288,-55.000001192092896,520.299991607666,0.36086209281762077,0.6391379071823792,8,4,0.0,0.9938966239922244
 1-131101-frozen_reference,input_on,133666,527577,VA6_adPN,pair,False,30302.5254586339,-16009.400413483381,0.0,0.0,1.0,120,30,0.8860614729314978,0.06375293938326579
 1-131101-frozen_reference,input_on,133666,527577,VA6_adPN,trio,False,30302.5254586339,-16009.400413483381,0.0,0.0,1.0,120,30,0.8860614729314978,0.06375293938326579
 1-131101-frozen_reference,input_on,133666,527577,VA6_adPN,five,True,30302.5254586339,-16009.400413483381,3207.050037384033,0.10583441442073831,0.8941655855792617,120,30,0.8860614729314978,0.06375293938326579
 1-131101-frozen_reference,late,1197,11289,lLN1_bc,pair,False,400517.15929305553,-18779.200412750244,0.0,0.0,1.0,197,49,0.6637034766946299,0.3168901136201325
 1-131101-frozen_reference,late,1197,11289,lLN1_bc,trio,True,400517.15929305553,-18779.200412750244,30409.5,0.07592558594412077,0.9240744140558792,197,49,0.6637034766946299,0.3168901136201325
 1-131101-frozen_reference,late,1197,11289,lLN1_bc,five,True,400517.15929305553,-18779.200412750244,36000.25,0.08988441360051412,0.9101155863994859,197,49,0.6637034766946299,0.3168901136201325
 1-131101-frozen_reference,late,1381,11478,lLN1_bc,pair,True,434234.08220255375,-15873.000563174486,17744.101043701172,0.040862985589934,0.959137014410066,214,51,0.648128317356207,0.33507659322588423
 1-131101-frozen_reference,late,1381,11478,lLN1_bc,trio,True,434234.08220255375,-15873.000563174486,30911.101043701172,0.07118534060456894,0.9288146593954311,214,51,0.648128317356207,0.33507659322588423
 1-131101-frozen_reference,late,1381,11478,lLN1_bc,five,True,434234.08220255375,-15873.000563174486,34265.55108451843,0.0789103216189623,0.9210896783810377,214,51,0.648128317356207,0.33507659322588423
 1-131101-frozen_reference,late,1511,11620,lLN1_bc,pair,True,394828.234836936,-14949.000438600779,14734.5,0.03731875965275216,0.9626812403472479,205,52,0.6430959953648996,0.34341339111346636
 1-131101-frozen_reference,late,1511,11620,lLN1_bc,trio,True,394828.234836936,-14949.000438600779,25518.899826049805,0.0646329152133436,0.9353670847866564,205,52,0.6430959953648996,0.34341339111346636
 1-131101-frozen_reference,late,1511,11620,lLN1_bc,five,True,394828.234836936,-14949.000438600779,29991.499744415283,0.07596087892954709,0.9240391210704529,205,52,0.6430959953648996,0.34341339111346636
 1-131101-frozen_reference,late,82312,109321,KC,pair,False,6962.450061798096,-271.150005877018,0.0,0.0,1.0,8,4,0.0,0.993759380597908
 1-131101-frozen_reference,late,82312,109321,KC,trio,False,6962.450061798096,-271.150005877018,0.0,0.0,1.0,8,4,0.0,0.993759380597908
 1-131101-frozen_reference,late,82312,109321,KC,five,True,6962.450061798096,-271.150005877018,2530.5499591827393,0.3634568200449267,0.6365431799550733,8,4,0.0,0.993759380597908
 1-131101-frozen_reference,late,133666,527577,VA6_adPN,pair,False,146226.02728185058,-76782.20198082924,0.0,0.0,1.0,119,31,0.8634760785902439,0.06379729727047828
 1-131101-frozen_reference,late,133666,527577,VA6_adPN,trio,False,146226.02728185058,-76782.20198082924,0.0,0.0,1.0,119,31,0.8634760785902439,0.06379729727047828
 1-131101-frozen_reference,late,133666,527577,VA6_adPN,five,True,146226.02728185058,-76782.20198082924,14922.600173950195,0.10205160087668178,0.8979483991233183,119,31,0.8634760785902439,0.06379729727047828
 1-131101-frozen_reference,post_input,1197,11289,lLN1_bc,pair,False,704254.6663456559,-33040.70072641969,0.0,0.0,1.0,197,49,0.6633928506945467,0.3172055737221856
 1-131101-frozen_reference,post_input,1197,11289,lLN1_bc,trio,True,704254.6663456559,-33040.70072641969,53350.0,0.07575384665440787,0.9242461533455921,197,49,0.6633928506945467,0.3172055737221856
 1-131101-frozen_reference,post_input,1197,11289,lLN1_bc,five,True,704254.6663456559,-33040.70072641969,63173.0,0.08970192604871431,0.9102980739512857,197,49,0.6633928506945467,0.3172055737221856
 1-131101-frozen_reference,post_input,1381,11478,lLN1_bc,pair,True,763517.9876532257,-27969.425992190838,31130.001831054688,0.04077179887632628,0.9592282011236737,214,51,0.6478300011802768,0.33537720463872944
 1-131101-frozen_reference,post_input,1381,11478,lLN1_bc,trio,True,763517.9876532257,-27969.425992190838,54230.00183105469,0.07102648884244081,0.9289735111575592,214,51,0.6478300011802768,0.33537720463872944
 1-131101-frozen_reference,post_input,1381,11478,lLN1_bc,five,True,763517.9876532257,-27969.425992190838,60123.801902770996,0.07874575697629536,0.9212542430237046,214,51,0.6478300011802768,0.33537720463872944
 1-131101-frozen_reference,post_input,1511,11620,lLN1_bc,pair,True,694305.9923016429,-26337.025771319866,25850.0,0.03723142286919714,0.9627685771308029,205,52,0.6428179602279536,0.3436947584850494
 1-131101-frozen_reference,post_input,1511,11620,lLN1_bc,trio,True,694305.9923016429,-26337.025771319866,44769.99969482422,0.06448165533817514,0.9355183446618248,205,52,0.6428179602279536,0.3436947584850494
 1-131101-frozen_reference,post_input,1511,11620,lLN1_bc,five,True,694305.9923016429,-26337.025771319866,52628.3995513916,0.07580000768382691,0.9241999923161731,205,52,0.6428179602279536,0.3436947584850494
 1-131101-frozen_reference,post_input,82312,109321,KC,pair,False,12248.50010868907,-477.40001034736633,0.0,0.0,1.0,8,4,0.0,0.9937584193183967
 1-131101-frozen_reference,post_input,82312,109321,KC,trio,False,12248.50010868907,-477.40001034736633,0.0,0.0,1.0,8,4,0.0,0.9937584193183967
 1-131101-frozen_reference,post_input,82312,109321,KC,five,True,12248.50010868907,-477.40001034736633,4446.199928283691,0.362999541889179,0.637000458110821,8,4,0.0,0.9937584193183967
 1-131101-frozen_reference,post_input,133666,527577,VA6_adPN,pair,False,257057.35400918126,-135117.40348806977,0.0,0.0,1.0,119,31,0.863682848960109,0.06377399956110062
 1-131101-frozen_reference,post_input,133666,527577,VA6_adPN,trio,False,257057.35400918126,-135117.40348806977,0.0,0.0,1.0,119,31,0.863682848960109,0.06377399956110062
 1-131101-frozen_reference,post_input,133666,527577,VA6_adPN,five,True,257057.35400918126,-135117.40348806977,26180.00030517578,0.10184497699389186,0.8981550230061082,119,31,0.863682848960109,0.06377399956110062
 2-131101-frozen_reference,input_on,1197,11289,lLN1_bc,pair,False,85125.70197564363,-3833.2250829339027,0.0,0.0,1.0,204,49,0.6653766134475256,0.3157119417265943
 2-131101-frozen_reference,input_on,1197,11289,lLN1_bc,trio,True,85125.70197564363,-3833.2250829339027,6535.375,0.0767732288641792,0.9232267711358209,204,49,0.6653766134475256,0.3157119417265943
 2-131101-frozen_reference,input_on,1197,11289,lLN1_bc,five,True,85125.70197564363,-3833.2250829339027,7711.0,0.09058368766469954,0.9094163123353004,204,49,0.6653766134475256,0.3157119417265943
 2-131101-frozen_reference,input_on,1381,11478,lLN1_bc,pair,True,92216.02653607726,-3432.2751217782497,3813.425224304199,0.04135317219303838,0.9586468278069616,222,51,0.6504796761452037,0.3331275653885573
 2-131101-frozen_reference,input_on,1381,11478,lLN1_bc,trio,True,92216.02653607726,-3432.2751217782497,6643.175224304199,0.07203926989529548,0.9279607301047045,222,51,0.6504796761452037,0.3331275653885573
 2-131101-frozen_reference,input_on,1381,11478,lLN1_bc,five,True,92216.02653607726,-3432.2751217782497,7348.550232887268,0.07968842845351104,0.920311571546489,222,51,0.6504796761452037,0.3331275653885573
 2-131101-frozen_reference,input_on,1511,11620,lLN1_bc,pair,True,83760.60209003091,-3209.800090879202,3166.625,0.03780566186231949,0.9621943381376805,213,51,0.6452078910390152,0.3417152566185128
 2-131101-frozen_reference,input_on,1511,11620,lLN1_bc,trio,True,83760.60209003091,-3209.800090879202,5484.324962615967,0.06547618839608013,0.9345238116039198,213,51,0.6452078910390152,0.3417152566185128
 2-131101-frozen_reference,input_on,1511,11620,lLN1_bc,five,True,83760.60209003091,-3209.800090879202,6424.824945449829,0.07670461750673715,0.9232953824932628,213,51,0.6452078910390152,0.3417152566185128
 2-131101-frozen_reference,input_on,82312,109321,KC,pair,False,1459.1500126421452,-57.75000125169754,0.0,0.0,1.0,8,4,0.0,0.993969091515957
 2-131101-frozen_reference,input_on,82312,109321,KC,trio,False,1459.1500126421452,-57.75000125169754,0.0,0.0,1.0,8,4,0.0,0.993969091515957
 2-131101-frozen_reference,input_on,82312,109321,KC,five,True,1459.1500126421452,-57.75000125169754,532.1249914169312,0.36468148360797376,0.6353185163920263,8,4,0.0,0.993969091515957
 2-131101-frozen_reference,input_on,133666,527577,VA6_adPN,pair,False,30307.750459104776,-16021.22541320324,0.0,0.0,1.0,121,30,0.8853098608449992,0.06387805229642067
 2-131101-frozen_reference,input_on,133666,527577,VA6_adPN,trio,False,30307.750459104776,-16021.22541320324,0.0,0.0,1.0,121,30,0.8853098608449992,0.06387805229642067
 2-131101-frozen_reference,input_on,133666,527577,VA6_adPN,five,True,30307.750459104776,-16021.22541320324,3207.050037384033,0.105816168762225,0.894183831237775,121,30,0.8853098608449992,0.06387805229642067
 2-131101-frozen_reference,late,1197,11289,lLN1_bc,pair,False,400153.6092863679,-18773.975412666798,0.0,0.0,1.0,197,49,0.6636157963638845,0.3169773436238554
 2-131101-frozen_reference,late,1197,11289,lLN1_bc,trio,True,400153.6092863679,-18773.975412666798,30338.27500152588,0.07581657217994614,0.9241834278200538,197,49,0.6636157963638845,0.3169773436238554
 2-131101-frozen_reference,late,1197,11289,lLN1_bc,five,True,400153.6092863679,-18773.975412666798,35902.90000152588,0.08972279436778027,0.9102772056322197,197,49,0.6636157963638845,0.3169773436238554
 2-131101-frozen_reference,late,1381,11478,lLN1_bc,pair,True,433873.55718937516,-15845.775562524796,17744.101043701172,0.040896940478804766,0.9591030595211952,214,51,0.6479855141361155,0.3352149480309412
 2-131101-frozen_reference,late,1381,11478,lLN1_bc,trio,True,433873.55718937516,-15845.775562524796,30853.351043701172,0.07111138840442041,0.9288886115955796,214,51,0.6479855141361155,0.3352149480309412
 2-131101-frozen_reference,late,1381,11478,lLN1_bc,five,True,433873.55718937516,-15845.775562524796,34192.1260843277,0.07880666041466933,0.9211933395853307,214,51,0.6479855141361155,0.3352149480309412
 2-131101-frozen_reference,late,1511,11620,lLN1_bc,pair,True,394442.68482884765,-14924.525438219309,14669.875,0.03719139830509316,0.9628086016949068,205,52,0.6429088849262784,0.34359358975961585
 2-131101-frozen_reference,late,1511,11620,lLN1_bc,trio,True,394442.68482884765,-14924.525438219309,25406.974826812744,0.06441233619996545,0.9355876638000346,205,52,0.6429088849262784,0.34359358975961585
 2-131101-frozen_reference,late,1511,11620,lLN1_bc,five,True,394442.68482884765,-14924.525438219309,29858.674745559692,0.07569838634101086,0.9243016136589891,205,52,0.6429088849262784,0.34359358975961585
 2-131101-frozen_reference,late,82312,109321,KC,pair,False,6953.375061988831,-268.95000582933426,0.0,0.0,1.0,8,4,0.0,0.9937512358308879
 2-131101-frozen_reference,late,82312,109321,KC,trio,False,6953.375061988831,-268.95000582933426,0.0,0.0,1.0,8,4,0.0,0.9937512358308879
 2-131101-frozen_reference,late,82312,109321,KC,five,True,6953.375061988831,-268.95000582933426,2518.724959373474,0.3622305624131052,0.6377694375868949,8,4,0.0,0.9937512358308879
 2-131101-frozen_reference,late,133666,527577,VA6_adPN,pair,False,146179.00228133798,-76756.35197913647,0.0,0.0,1.0,119,31,0.8629317456933626,0.06385544562150128
 2-131101-frozen_reference,late,133666,527577,VA6_adPN,trio,False,146179.00228133798,-76756.35197913647,0.0,0.0,1.0,119,31,0.8629317456933626,0.06385544562150128
 2-131101-frozen_reference,late,133666,527577,VA6_adPN,five,True,146179.00228133798,-76756.35197913647,14876.400173187256,0.10176837945956113,0.8982316205404388,119,31,0.8629317456933626,0.06385544562150128
 2-131101-frozen_reference,post_input,1197,11289,lLN1_bc,pair,False,703993.6913368404,-33033.00072598457,0.0,0.0,1.0,197,49,0.6634918983861716,0.317097380598496
 2-131101-frozen_reference,post_input,1197,11289,lLN1_bc,trio,True,703993.6913368404,-33033.00072598457,53350.0,0.07578192909469353,0.9242180709053065,197,49,0.6634918983861716,0.317097380598496
 2-131101-frozen_reference,post_input,1197,11289,lLN1_bc,five,True,703993.6913368404,-33033.00072598457,63146.875,0.08969806942458249,0.9103019305754175,197,49,0.6634918983861716,0.317097380598496
 2-131101-frozen_reference,post_input,1381,11478,lLN1_bc,pair,True,763303.7626463771,-27914.150990515947,31130.001831054688,0.040783241684970675,0.9592167583150293,214,51,0.6478727513694693,0.3353333442278528
 2-131101-frozen_reference,post_input,1381,11478,lLN1_bc,trio,True,763303.7626463771,-27914.150990515947,54230.00183105469,0.07104642278067523,0.9289535772193248,214,51,0.6478727513694693,0.3353333442278528
 2-131101-frozen_reference,post_input,1381,11478,lLN1_bc,five,True,763303.7626463771,-27914.150990515947,60108.12690258026,0.07874732163534102,0.921252678364659,214,51,0.6478727513694693,0.3353333442278528
 2-131101-frozen_reference,post_input,1511,11620,lLN1_bc,pair,True,694012.8422955573,-26290.27577126026,25850.0,0.03724714936757804,0.962752850632422,205,52,0.6428790788118,0.34362556541571
 2-131101-frozen_reference,post_input,1511,11620,lLN1_bc,trio,True,694012.8422955573,-26290.27577126026,44769.99969482422,0.0645088922947598,0.9354911077052402,205,52,0.6428790788118,0.34362556541571
 2-131101-frozen_reference,post_input,1511,11620,lLN1_bc,five,True,694012.8422955573,-26290.27577126026,52607.49955177307,0.0758019107798718,0.9241980892201282,205,52,0.6428790788118,0.34362556541571
 2-131101-frozen_reference,post_input,82312,109321,KC,pair,False,12231.175108879805,-475.75001031160355,0.0,0.0,1.0,8,4,0.0,0.9937270948228624
 2-131101-frozen_reference,post_input,82312,109321,KC,trio,False,12231.175108879805,-475.75001031160355,0.0,0.0,1.0,8,4,0.0,0.9937270948228624
 2-131101-frozen_reference,post_input,82312,109321,KC,five,True,12231.175108879805,-475.75001031160355,4434.374928474426,0.36254692529543464,0.6374530747045654,8,4,0.0,0.9937270948228624
 2-131101-frozen_reference,post_input,133666,527577,VA6_adPN,pair,False,257159.65401175618,-135073.12848582864,0.0,0.0,1.0,119,31,0.8631093540244862,0.06387160787726373
 2-131101-frozen_reference,post_input,133666,527577,VA6_adPN,trio,False,257159.65401175618,-135073.12848582864,0.0,0.0,1.0,119,31,0.8631093540244862,0.06387160787726373
 2-131101-frozen_reference,post_input,133666,527577,VA6_adPN,five,True,257159.65401175618,-135073.12848582864,26180.00030517578,0.10180446231265713,0.8981955376873428,119,31,0.8631093540244862,0.06387160787726373
 3-131101-frozen_reference,input_on,1197,11289,lLN1_bc,pair,False,81466.82689130306,-3665.475079149008,0.0,0.0,1.0,204,49,0.6660410539191323,0.3151635655061794
 3-131101-frozen_reference,input_on,1197,11289,lLN1_bc,trio,True,81466.82689130306,-3665.475079149008,6268.625,0.07694696404910797,0.923053035950892,204,49,0.6660410539191323,0.3151635655061794
 3-131101-frozen_reference,input_on,1197,11289,lLN1_bc,five,True,81466.82689130306,-3665.475079149008,7365.875,0.09041563641392224,0.9095843635860777,204,49,0.6660410539191323,0.3151635655061794
 3-131101-frozen_reference,input_on,1381,11478,lLN1_bc,pair,True,88219.45146915317,-3298.0751166045666,3657.775215148926,0.04146223031581538,0.9585377696841846,222,51,0.6513943362222855,0.33234932775131415
 3-131101-frozen_reference,input_on,1381,11478,lLN1_bc,trio,True,88219.45146915317,-3298.0751166045666,6372.025215148926,0.07222925453551442,0.9277707454644856,222,51,0.6513943362222855,0.33234932775131415
 3-131101-frozen_reference,input_on,1381,11478,lLN1_bc,five,True,88219.45146915317,-3298.0751166045666,7030.37522315979,0.07969189454343902,0.9203081054565609,222,51,0.6513943362222855,0.33234932775131415
 3-131101-frozen_reference,input_on,1511,11620,lLN1_bc,pair,True,80095.12700673938,-3086.0500870645046,3037.375,0.037922094807895476,0.9620779051921046,213,51,0.6461897659057267,0.3408731171559384
 3-131101-frozen_reference,input_on,1511,11620,lLN1_bc,trio,True,80095.12700673938,-3086.0500870645046,5260.474964141846,0.06567784034725631,0.9343221596527437,213,51,0.6461897659057267,0.3408731171559384
 3-131101-frozen_reference,input_on,1511,11620,lLN1_bc,five,True,80095.12700673938,-3086.0500870645046,6138.274948120117,0.07663730837961752,0.9233626916203825,213,51,0.6461897659057267,0.3408731171559384
 3-131101-frozen_reference,input_on,82312,109321,KC,pair,False,1381.8750124275684,-52.25000113248825,0.0,0.0,1.0,8,4,0.0,0.9940298506705603
 3-131101-frozen_reference,input_on,82312,109321,KC,trio,False,1381.8750124275684,-52.25000113248825,0.0,0.0,1.0,8,4,0.0,0.9940298506705603
 3-131101-frozen_reference,input_on,82312,109321,KC,five,True,1381.8750124275684,-52.25000113248825,496.64999198913574,0.35940297604532295,0.640597023954677,8,4,0.0,0.9940298506705603
 3-131101-frozen_reference,input_on,133666,527577,VA6_adPN,pair,False,28926.150436997414,-15275.150393545628,0.0,0.0,1.0,121,29,0.8878938240866366,0.06475196451369124
 3-131101-frozen_reference,input_on,133666,527577,VA6_adPN,trio,False,28926.150436997414,-15275.150393545628,0.0,0.0,1.0,121,29,0.8878938240866366,0.06475196451369124
 3-131101-frozen_reference,input_on,133666,527577,VA6_adPN,five,True,28926.150436997414,-15275.150393545628,3076.1500358581543,0.10634495048202702,0.8936550495179729,121,29,0.8878938240866366,0.06475196451369124
 3-131101-frozen_reference,late,1197,11289,lLN1_bc,pair,False,400217.40928182006,-18783.32541269064,0.0,0.0,1.0,197,49,0.6636543037078949,0.3169481141312774
 3-131101-frozen_reference,late,1197,11289,lLN1_bc,trio,True,400217.40928182006,-18783.32541269064,30409.5,0.07598245177432204,0.9240175482256779,197,49,0.6636543037078949,0.3169481141312774
 3-131101-frozen_reference,late,1197,11289,lLN1_bc,five,True,400217.40928182006,-18783.32541269064,35948.0,0.08982118010435321,0.9101788198956468,197,49,0.6636543037078949,0.3169481141312774
 3-131101-frozen_reference,late,1381,11478,lLN1_bc,pair,True,433927.1821966171,-15895.2755638659,17744.101043701172,0.04089188640793912,0.9591081135920608,214,51,0.6480486624681501,0.335164015747383
 3-131101-frozen_reference,late,1381,11478,lLN1_bc,trio,True,433927.1821966171,-15895.2755638659,30911.101043701172,0.07123568725799485,0.9287643127420051,214,51,0.6480486624681501,0.335164015747383
 3-131101-frozen_reference,late,1381,11478,lLN1_bc,five,True,433927.1821966171,-15895.2755638659,34234.20108413696,0.07889388470857554,0.9211061152914245,214,51,0.6480486624681501,0.335164015747383
 3-131101-frozen_reference,late,1511,11620,lLN1_bc,pair,True,394485.5848275721,-14970.450438439846,14734.5,0.03735117471134056,0.9626488252886595,205,52,0.6430508906495236,0.3434662969793157
 3-131101-frozen_reference,late,1511,11620,lLN1_bc,trio,True,394485.5848275721,-14970.450438439846,25518.899826049805,0.06468905533570765,0.9353109446642923,205,52,0.6430508906495236,0.3434662969793157
 3-131101-frozen_reference,late,1511,11620,lLN1_bc,five,True,394485.5848275721,-14970.450438439846,29949.699745178223,0.07592089773893539,0.9240791022610646,205,52,0.6430508906495236,0.3434662969793157
 3-131101-frozen_reference,late,82312,109321,KC,pair,False,6932.475061893463,-271.150005877018,0.0,0.0,1.0,8,4,0.0,0.9937323970798554
 3-131101-frozen_reference,late,82312,109321,KC,trio,False,6932.475061893463,-271.150005877018,0.0,0.0,1.0,8,4,0.0,0.9937323970798554
 3-131101-frozen_reference,late,82312,109321,KC,five,True,6932.475061893463,-271.150005877018,2506.899959564209,0.3616168737979565,0.6383831262020435,8,4,0.0,0.9937323970798554
 3-131101-frozen_reference,late,133666,527577,VA6_adPN,pair,False,146047.27727791667,-76770.37697938085,0.0,0.0,1.0,119,31,0.86389458247132,0.06368143592525033
 3-131101-frozen_reference,late,133666,527577,VA6_adPN,trio,False,146047.27727791667,-76770.37697938085,0.0,0.0,1.0,119,31,0.86389458247132,0.06368143592525033
 3-131101-frozen_reference,late,133666,527577,VA6_adPN,five,True,146047.27727791667,-76770.37697938085,14922.600173950195,0.10217650374647959,0.8978234962535204,119,31,0.86389458247132,0.06368143592525033
 3-131101-frozen_reference,post_input,1197,11289,lLN1_bc,pair,False,703880.941331476,-33023.65072590113,0.0,0.0,1.0,197,49,0.6635544213362338,0.31704425048922796
 3-131101-frozen_reference,post_input,1197,11289,lLN1_bc,trio,True,703880.941331476,-33023.65072590113,53350.0,0.07579406809776952,0.9242059319022304,197,49,0.6635544213362338,0.31704425048922796
 3-131101-frozen_reference,post_input,1197,11289,lLN1_bc,five,True,703880.941331476,-33023.65072590113,63094.625,0.08963820625779252,0.9103617937422075,197,49,0.6635544213362338,0.31704425048922796
 3-131101-frozen_reference,post_input,1381,11478,lLN1_bc,pair,True,763217.6876446009,-27941.65099143982,31130.001831054688,0.040787841182148614,0.9592121588178514,214,51,0.6479065433629929,0.33530162171556643
 3-131101-frozen_reference,post_input,1381,11478,lLN1_bc,trio,True,763217.6876446009,-27941.65099143982,54230.00183105469,0.0710544353320954,0.9289455646679046,214,51,0.6479065433629929,0.33530162171556643
 3-131101-frozen_reference,post_input,1381,11478,lLN1_bc,five,True,763217.6876446009,-27941.65099143982,60076.77690219879,0.07871512659462117,0.9212848734053788,214,51,0.6479065433629929,0.33530162171556643
 3-131101-frozen_reference,post_input,1511,11620,lLN1_bc,pair,True,693890.7422885299,-26308.42577049136,25850.0,0.037253703536588176,0.9627462964634118,205,52,0.6429172988583062,0.3435877448802364
 3-131101-frozen_reference,post_input,1511,11620,lLN1_bc,trio,True,693890.7422885299,-26308.42577049136,44769.99969482422,0.06452024355760637,0.9354797564423937,205,52,0.6429172988583062,0.3435877448802364
 3-131101-frozen_reference,post_input,1511,11620,lLN1_bc,five,True,693890.7422885299,-26308.42577049136,52565.69955253601,0.07575500918079467,0.9242449908192053,205,52,0.6429172988583062,0.3435877448802364
 3-131101-frozen_reference,post_input,82312,109321,KC,pair,False,12200.925108879805,-477.40001034736633,0.0,0.0,1.0,8,4,0.0,0.9937340815573592
 3-131101-frozen_reference,post_input,82312,109321,KC,trio,False,12200.925108879805,-477.40001034736633,0.0,0.0,1.0,8,4,0.0,0.9937340815573592
 3-131101-frozen_reference,post_input,82312,109321,KC,five,True,12200.925108879805,-477.40001034736633,4410.724928855896,0.3615074176339121,0.6384925823660879,8,4,0.0,0.9937340815573592
 3-131101-frozen_reference,post_input,133666,527577,VA6_adPN,pair,False,257054.879009068,-135016.7534841001,0.0,0.0,1.0,119,31,0.8633916178171309,0.06365693443990253
 3-131101-frozen_reference,post_input,133666,527577,VA6_adPN,trio,False,257054.879009068,-135016.7534841001,0.0,0.0,1.0,119,31,0.8633916178171309,0.06365693443990253
 3-131101-frozen_reference,post_input,133666,527577,VA6_adPN,five,True,257054.879009068,-135016.7534841001,26180.00030517578,0.10184595758733776,0.8981540424126623,119,31,0.8633916178171309,0.06365693443990253
 4-131101-frozen_reference,input_on,1197,11289,lLN1_bc,pair,False,79866.32685315609,-3637.150079458952,0.0,0.0,1.0,202,49,0.6660801656065795,0.3147615723843998
 4-131101-frozen_reference,input_on,1197,11289,lLN1_bc,trio,True,79866.32685315609,-3637.150079458952,6135.25,0.07681898293983645,0.9231810170601635,202,49,0.6660801656065795,0.3147615723843998
 4-131101-frozen_reference,input_on,1197,11289,lLN1_bc,five,True,79866.32685315609,-3637.150079458952,7206.375,0.09023045486052955,0.9097695451394704,202,49,0.6660801656065795,0.3147615723843998
 4-131101-frozen_reference,input_on,1381,11478,lLN1_bc,pair,True,86533.42644062638,-3248.3001149892807,3579.950210571289,0.04137072063161186,0.9586292793683882,220,51,0.6512090567948938,0.33223057912271914
 4-131101-frozen_reference,input_on,1381,11478,lLN1_bc,trio,True,86533.42644062638,-3248.3001149892807,6236.450210571289,0.07206984014264518,0.9279301598573548,220,51,0.6512090567948938,0.33223057912271914
 4-131101-frozen_reference,input_on,1381,11478,lLN1_bc,five,True,86533.42644062638,-3248.3001149892807,6879.1252183914185,0.07949673902155519,0.9205032609784448,220,51,0.6512090567948938,0.33223057912271914
 4-131101-frozen_reference,input_on,1511,11620,lLN1_bc,pair,True,78558.15196841955,-3033.525085091591,2972.75,0.03784139424760206,0.962158605752398,211,51,0.6459886729874749,0.34080709551854077
 4-131101-frozen_reference,input_on,1511,11620,lLN1_bc,trio,True,78558.15196841955,-3033.525085091591,5148.549964904785,0.06553807384591362,0.9344619261540864,211,51,0.6459886729874749,0.34080709551854077
 4-131101-frozen_reference,input_on,1511,11620,lLN1_bc,five,True,78558.15196841955,-3033.525085091591,6005.449949264526,0.0764459167990449,0.9235540832009551,211,51,0.6459886729874749,0.34080709551854077
 4-131101-frozen_reference,input_on,82312,109321,KC,pair,False,1357.1250120401382,-54.45000118017197,0.0,0.0,1.0,8,4,0.0,0.9939209725665494
 4-131101-frozen_reference,input_on,82312,109321,KC,trio,False,1357.1250120401382,-54.45000118017197,0.0,0.0,1.0,8,4,0.0,0.9939209725665494
 4-131101-frozen_reference,input_on,82312,109321,KC,five,True,1357.1250120401382,-54.45000118017197,484.8249921798706,0.3572441653337765,0.6427558346662234,8,4,0.0,0.9939209725665494
 4-131101-frozen_reference,input_on,133666,527577,VA6_adPN,pair,False,28385.775427162647,-15049.375388532877,0.0,0.0,1.0,116,29,0.8884335531316019,0.06421174117281864
 4-131101-frozen_reference,input_on,133666,527577,VA6_adPN,trio,False,28385.775427162647,-15049.375388532877,0.0,0.0,1.0,116,29,0.8884335531316019,0.06421174117281864
 4-131101-frozen_reference,input_on,133666,527577,VA6_adPN,five,True,28385.775427162647,-15049.375388532877,3010.700035095215,0.10606368823076942,0.8939363117692306,116,29,0.8884335531316019,0.06421174117281864
 4-131101-frozen_reference,late,1197,11289,lLN1_bc,pair,False,400002.08428132534,-18770.950412660837,0.0,0.0,1.0,197,49,0.6634911204666482,0.3171015429623209
 4-131101-frozen_reference,late,1197,11289,lLN1_bc,trio,True,400002.08428132534,-18770.950412660837,30276.125,0.07568991810229296,0.924310081897707,197,49,0.6634911204666482,0.3171015429623209
 4-131101-frozen_reference,late,1197,11289,lLN1_bc,five,True,400002.08428132534,-18770.950412660837,35840.75,0.08960140811364586,0.9103985918863542,197,49,0.6634911204666482,0.3171015429623209
 4-131101-frozen_reference,late,1381,11478,lLN1_bc,pair,True,433675.2821864486,-15864.200562685728,17666.276039123535,0.04073618387945922,0.9592638161205408,214,51,0.6478531093682599,0.3353441109068587
 4-131101-frozen_reference,late,1381,11478,lLN1_bc,trio,True,433675.2821864486,-15864.200562685728,30775.526039123535,0.07096444575758025,0.9290355542424198,214,51,0.6478531093682599,0.3353441109068587
 4-131101-frozen_reference,late,1381,11478,lLN1_bc,five,True,433675.2821864486,-15864.200562685728,34114.30107975006,0.07866323602248425,0.9213367639775157,214,51,0.6478531093682599,0.3353441109068587
 4-131101-frozen_reference,late,1511,11620,lLN1_bc,pair,True,394290.059825927,-14940.750437796116,14669.875,0.03720579465400808,0.9627942053459919,205,52,0.6428634208608803,0.34364498839061286
 4-131101-frozen_reference,late,1511,11620,lLN1_bc,trio,True,394290.059825927,-14940.750437796116,25406.974826812744,0.06443726945089494,0.9355627305491051,205,52,0.6428634208608803,0.34364498839061286
 4-131101-frozen_reference,late,1511,11620,lLN1_bc,five,True,394290.059825927,-14940.750437796116,29858.674745559692,0.07572768828801273,0.9242723117119873,205,52,0.6428634208608803,0.34364498839061286
 4-131101-frozen_reference,late,82312,109321,KC,pair,False,6953.3750620782375,-270.60000586509705,0.0,0.0,1.0,8,4,0.0,0.9937512358309682
 4-131101-frozen_reference,late,82312,109321,KC,trio,False,6953.3750620782375,-270.60000586509705,0.0,0.0,1.0,8,4,0.0,0.9937512358309682
 4-131101-frozen_reference,late,82312,109321,KC,five,True,6953.3750620782375,-270.60000586509705,2518.724959373474,0.3622305624084476,0.6377694375915525,8,4,0.0,0.9937512358309682
 4-131101-frozen_reference,late,133666,527577,VA6_adPN,pair,False,145949.92727336287,-76677.42697772384,0.0,0.0,1.0,119,31,0.8639620723193271,0.06390291180855275
 4-131101-frozen_reference,late,133666,527577,VA6_adPN,trio,False,145949.92727336287,-76677.42697772384,0.0,0.0,1.0,119,31,0.8639620723193271,0.06390291180855275
 4-131101-frozen_reference,late,133666,527577,VA6_adPN,five,True,145949.92727336287,-76677.42697772384,14857.150173187256,0.10179621498104587,0.8982037850189541,119,31,0.8639620723193271,0.06390291180855275
 4-131101-frozen_reference,post_input,1197,11289,lLN1_bc,pair,False,704001.116335392,-33022.275725752115,0.0,0.0,1.0,197,49,0.6634509163093574,0.3171530205001698
 4-131101-frozen_reference,post_input,1197,11289,lLN1_bc,trio,True,704001.116335392,-33022.275725752115,53350.0,0.07578112983358341,0.9242188701664166,197,49,0.6634509163093574,0.3171530205001698
 4-131101-frozen_reference,post_input,1197,11289,lLN1_bc,five,True,704001.116335392,-33022.275725752115,63120.75,0.08966001407578557,0.9103399859242144,197,49,0.6634509163093574,0.3171530205001698
 4-131101-frozen_reference,post_input,1381,11478,lLN1_bc,pair,True,763353.2626490891,-27907.82599017024,31130.001831054688,0.040780597076408964,0.959219402923591,214,51,0.6477867889369624,0.3354236379424401
 4-131101-frozen_reference,post_input,1381,11478,lLN1_bc,trio,True,763353.2626490891,-27907.82599017024,54230.00183105469,0.07104181574184748,0.9289581842581526,214,51,0.6477867889369624,0.3354236379424401
 4-131101-frozen_reference,post_input,1381,11478,lLN1_bc,five,True,763353.2626490891,-27907.82599017024,60092.45190238953,0.0787216808294613,0.9212783191705387,214,51,0.6477867889369624,0.3354236379424401
 4-131101-frozen_reference,post_input,1511,11620,lLN1_bc,pair,True,694007.3422918022,-26282.025770932436,25850.0,0.037247444550998876,0.9627525554490011,205,52,0.6428140374759943,0.34369882103870003
 4-131101-frozen_reference,post_input,1511,11620,lLN1_bc,trio,True,694007.3422918022,-26282.025770932436,44769.99969482422,0.06450940352731922,0.9354905964726807,205,52,0.6428140374759943,0.34369882103870003
 4-131101-frozen_reference,post_input,1511,11620,lLN1_bc,five,True,694007.3422918022,-26282.025770932436,52586.59955215454,0.07577239655491136,0.9242276034450886,205,52,0.6428140374759943,0.34369882103870003
 4-131101-frozen_reference,post_input,82312,109321,KC,pair,False,12222.650109350681,-475.2000102996826,0.0,0.0,1.0,8,4,0.0,0.9937452188377279
 4-131101-frozen_reference,post_input,82312,109321,KC,trio,False,12222.650109350681,-475.2000102996826,0.0,0.0,1.0,8,4,0.0,0.9937452188377279
 4-131101-frozen_reference,post_input,82312,109321,KC,five,True,12222.650109350681,-475.2000102996826,4422.549928665161,0.36183232679480715,0.6381676732051929,8,4,0.0,0.9937452188377279
 4-131101-frozen_reference,post_input,133666,527577,VA6_adPN,pair,False,257035.6290103197,-134959.828481853,0.0,0.0,1.0,119,31,0.8634691179181607,0.0638970777953173
 4-131101-frozen_reference,post_input,133666,527577,VA6_adPN,trio,False,257035.6290103197,-134959.828481853,0.0,0.0,1.0,119,31,0.8634691179181607,0.0638970777953173
 4-131101-frozen_reference,post_input,133666,527577,VA6_adPN,five,True,257035.6290103197,-134959.828481853,26180.00030517578,0.10185358506903602,0.898146414930964,119,31,0.8634691179181607,0.0638970777953173
 5-131101-frozen_reference,input_on,1197,11289,lLN1_bc,pair,False,87402.70203155279,-3943.225085258484,0.0,0.0,1.0,206,49,0.665853857862033,0.3159067172780962
 5-131101-frozen_reference,input_on,1197,11289,lLN1_bc,trio,True,87402.70203155279,-3943.225085258484,6668.75,0.07629912857376595,0.923700871426234,206,49,0.665853857862033,0.3159067172780962
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 trial,neuron_idx,mode,spikes,late_spikes,accepted_requests,max_abs_v_diff
 0-131101-frozen_reference,1197,base,452,228,0,0.0
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 1-131101-frozen_reference,1197,omit_ALLN,429,217,0,6.989978790283203
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 1-131101-frozen_reference,1511,omit_ALPN,449,227,0,6.809528350830078
 1-131101-frozen_reference,1511,omit_ALLN,436,221,0,6.999870300292969
 1-131101-frozen_reference,82312,base,119,60,0,0.0
 1-131101-frozen_reference,82312,omit_ALPN,0,0,0,49.75148010253906
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 2-131101-frozen_reference,1197,base,450,228,0,0.0
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 2-131101-frozen_reference,1381,base,450,228,0,0.0
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 2-131101-frozen_reference,1511,base,450,228,0,0.0
 2-131101-frozen_reference,1511,omit_ALPN,449,228,0,7.016819000244141
 2-131101-frozen_reference,1511,omit_ALLN,436,221,0,6.999500274658203
 2-131101-frozen_reference,82312,base,120,61,0,0.0
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 3-131101-frozen_reference,1381,omit_ALLN,446,227,0,6.884757995605469
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 3-131101-frozen_reference,1511,omit_ALPN,447,227,0,6.765693664550781
 3-131101-frozen_reference,1511,omit_ALLN,432,220,0,6.998661041259766
 3-131101-frozen_reference,82312,base,119,60,0,0.0
 3-131101-frozen_reference,82312,omit_ALPN,0,0,0,49.70563507080078
 3-131101-frozen_reference,82312,omit_ALLN,119,60,0,0.0
 3-131101-frozen_reference,133666,base,416,212,0,0.0
 3-131101-frozen_reference,133666,omit_ALPN,409,208,0,6.999031066894531
 3-131101-frozen_reference,133666,omit_ALLN,0,0,0,65.64041137695312
 4-131101-frozen_reference,1197,base,447,228,0,0.0
 4-131101-frozen_reference,1197,omit_ALPN,446,227,0,7.811756134033203
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 4-131101-frozen_reference,1381,base,447,227,0,0.0
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 4-131101-frozen_reference,1381,omit_ALLN,446,227,0,6.9832305908203125
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 4-131101-frozen_reference,82312,base,119,61,0,0.0
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 4-131101-frozen_reference,82312,omit_ALLN,119,61,0,0.0
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 5-131101-frozen_reference,1197,omit_ALPN,450,227,0,6.894649505615234
 5-131101-frozen_reference,1197,omit_ALLN,430,217,0,6.930168151855469
 5-131101-frozen_reference,1381,base,451,228,0,0.0
 5-131101-frozen_reference,1381,omit_ALPN,450,227,0,6.580455780029297
 5-131101-frozen_reference,1381,omit_ALLN,450,228,0,6.970005035400391
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 5-131101-frozen_reference,1511,omit_ALPN,450,227,0,6.744312286376953
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 5-131101-frozen_reference,82312,omit_ALPN,0,0,0,49.82535934448242
 5-131101-frozen_reference,82312,omit_ALLN,120,61,0,0.0
 5-131101-frozen_reference,133666,base,423,214,0,0.0
 5-131101-frozen_reference,133666,omit_ALPN,416,210,0,6.996131896972656
 5-131101-frozen_reference,133666,omit_ALLN,0,0,0,65.95943832397461
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 {
  "timestamp_utc": "2026-09-29T17:05:44.827567+00:00",
  "source": "tools/review_feedback_context.py",
  "source_sha256": "f2ca2dddc2b3ae562758ea5ea2264a325756d2360d8f3134c6328a3a3c65b286",
  "analysis": "Post-hoc contextualization of preselected motifs using existing sealed accounting; no new simulations.",
  "scope": "All six archived calibration odors, seed 131101, frozen_reference only; not heldout or learning evidence.",
  "inputs": [
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      "path": "experiments/phase4z-pn-feedback-audit/drive/edge-accounting.parquet",
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      "sealed_manifest_sha256": "992fdd04143da9814dd7d6df4dfcfd087ceba1a65b7eeba3bf48a582c744117e"
    },
    {
      "path": "experiments/phase4z-pn-feedback-audit/drive/late-ISI-and-g.parquet",
      "bytes": 12092,
      "sha256": "b9d33056207b3756f33bb7133b3e687f51a9fcd476112dc8e756b8b2f243b442",
      "sealed_manifest_sha256": "992fdd04143da9814dd7d6df4dfcfd087ceba1a65b7eeba3bf48a582c744117e"
    },
    {
      "path": "experiments/phase4z-pn-feedback-audit/audit/incoming-source-metadata.parquet",
      "bytes": 238792,
      "sha256": "4336f9b4759fdcd6120568a908a5e0ec67a9f6cd6baff48e75f5d2167d476485",
      "sealed_manifest_sha256": "992fdd04143da9814dd7d6df4dfcfd087ceba1a65b7eeba3bf48a582c744117e"
    },
    {
      "path": "experiments/phase4z-pn-feedback-audit/audit/watched-metadata.parquet",
      "bytes": 35578,
      "sha256": "6acb942009013be7a0b328ada99df493b5826bd375a57f73418a09d361eb900c",
      "sealed_manifest_sha256": "992fdd04143da9814dd7d6df4dfcfd087ceba1a65b7eeba3bf48a582c744117e"
    },
    {
      "path": "experiments/phase4z-pn-feedback-audit/regression/trials.json",
      "bytes": 40209,
      "sha256": "c9148f77ee46b9c3096c141d6251794ba0a3b7c44c869eafe981ab24d79354bb",
      "sealed_manifest_sha256": "992fdd04143da9814dd7d6df4dfcfd087ceba1a65b7eeba3bf48a582c744117e"
    },
    {
      "path": "experiments/phase4ac-lif-semantics/audit/selected-real-edges.csv",
      "bytes": 547,
      "sha256": "9103e9d03fa21058a4f6cd21780c56fed8cdcfca26c34c2a43726e39aed8ec55",
      "sealed_manifest_sha256": "4e7d1606e107fe72f5dad935952705260577edaba6f811d65b4105ce07abd72c"
    },
    {
      "path": "experiments/phase4ac-lif-semantics/motifs/summary.csv",
      "bytes": 1009,
      "sha256": "4e762a26ecc7d3c3f862260495b6064a60832431b61dd41b944e8c501617a906",
      "sealed_manifest_sha256": "4e7d1606e107fe72f5dad935952705260577edaba6f811d65b4105ce07abd72c"
    },
    {
      "path": "experiments/phase4ac-lif-semantics/audit/final-status.json",
      "bytes": 227,
      "sha256": "c61d57cfb8808b0af5133e5d061e3ed6c435a6475f7a23b90f16c2de45d999fb",
      "sealed_manifest_sha256": "4e7d1606e107fe72f5dad935952705260577edaba6f811d65b4105ce07abd72c"
    }
  ],
  "metric": "sum of positive arrived synaptic weights, NOT g trajectory attribution or causal responsibility"
 }
@@ -0,0 +1,6 @@
 neuron_idx,body_id,type,internal_positive_fraction_min,internal_positive_fraction_max,sources_for_80_percent_min,sources_for_80_percent_max,positive_sources_min,positive_sources_max,isolated_five_late_spikes,whole_brain_late_rate_min,whole_brain_late_rate_max,base_late_min,base_late_max,omit_ALLN_late_min,omit_ALLN_late_max,omit_ALPN_late_min,omit_ALPN_late_max
 1197,11289,lLN1_bc,0.08960140811364586,0.08988441360051412,49,49,197,197,185,456.0,456.0,228,228,217,218,227,227
 1381,11478,lLN1_bc,0.07863660098309871,0.0789103216189623,51,51,214,214,185,454.0,456.0,227,228,227,228,227,227
 1511,11620,lLN1_bc,0.07569838634101086,0.07596087892954709,52,52,205,205,186,456.0,456.0,228,228,219,221,227,228
 82312,109321,KC,0.3616168737979565,0.3639311754071379,4,4,8,8,41,120.0,122.0,60,61,60,61,0,0
 133666,527577,VA6_adPN,0.10176837945956113,0.10217650374647959,31,31,119,119,150,424.0,428.0,212,214,0,0,208,210
@@ -0,0 +1,9 @@
 {
  "pass_all": true,
  "inputs_before_after_identical": true,
  "inputs_checked": 9,
  "edge_identity_matches": 13,
  "frozen_source_CPU_replay_checks": "Previously sealed Phase4Z regressions, not rerun here",
  "new_simulations": 0,
  "learning_achieved": false
 }
@@ -0,0 +1,151 @@
 """Read-only reanalysis of sealed event accounting; no simulation/model mutation."""
 from datetime import datetime, timezone
 import hashlib
 import json
 from pathlib import Path
 import sys
 import numpy as np
 import pandas as pd
 ROOT=Path('/data/digital-drosophila')
 Z=ROOT/'experiments/phase4z-pn-feedback-audit'
 AC=ROOT/'experiments/phase4ac-lif-semantics'
 OUT=ROOT/'registry/feedback-context-review-20260930'
 def sha(path):
    h=hashlib.sha256()
    with path.open('rb') as f:
        for b in iter(lambda:f.read(8<<20),b''):h.update(b)
    return h.hexdigest()
 def save(path,value):
    with path.open('x',encoding='utf-8') as f:json.dump(value,f,indent=2,ensure_ascii=False,allow_nan=False);f.write('\n')
 def verify_inputs():
    selection={Z:['drive/edge-accounting.parquet','replay/results.parquet','drive/late-ISI-and-g.parquet',
                  'audit/incoming-source-metadata.parquet','audit/watched-metadata.parquet','regression/trials.json'],
               AC:['audit/selected-real-edges.csv','motifs/summary.csv','audit/final-status.json']}
    rows=[]
    for folder,names in selection.items():
        manifest=json.loads((folder/'manifest.json').read_text())
        indexed={r['path']:r for r in manifest['files']}
        for name in names:
            p=folder/name;r=indexed[name]
            assert p.is_file() and p.stat().st_size==r['bytes'] and sha(p)==r['sha256'],str(p)
            rows.append(dict(path=str(p.relative_to(ROOT)),bytes=r['bytes'],sha256=r['sha256'],
                sealed_manifest_sha256=sha(folder/'manifest.json')))
    return rows
 def analyze():
    before=verify_inputs()
    if OUT.exists():raise RuntimeError('Refusing existing output')
    OUT.mkdir()
    save(OUT/'protocol.json',dict(timestamp_utc=datetime.now(timezone.utc).isoformat(),
        source=str(Path(__file__).resolve().relative_to(ROOT)),source_sha256=sha(Path(__file__)),
        analysis='Post-hoc contextualization of preselected motifs using existing sealed accounting; no new simulations.',
        scope='All six archived calibration odors, seed 131101, frozen_reference only; not heldout or learning evidence.',
        inputs=before,metric='sum of positive arrived synaptic weights, NOT g trajectory attribution or causal responsibility'))
    d=pd.read_parquet(Z/'drive/edge-accounting.parquet')
    required={'trial','period','edge_id','source_neuron_idx','target_neuron_idx','raw_synapse_count','effective_weight',
              'edge_event_count','positive_arrival_sum','negative_arrival_sum','source_role'}
    assert required<=set(d)
    d=d[d.trial.str.endswith('-frozen_reference')].copy()
    expected={f'{i}-131101-frozen_reference' for i in range(6)}
    assert set(d.trial)==expected and not d.duplicated(['trial','period','edge_id']).any()
    assert set(d.period)=={'input_on','post_input','late'}
    assert np.allclose(d.positive_arrival_sum,d.edge_event_count*np.maximum(d.effective_weight,0),rtol=0,atol=0)
    assert np.allclose(d.negative_arrival_sum,d.edge_event_count*np.minimum(d.effective_weight,0),rtol=0,atol=0)
    edges=pd.read_csv(AC/'audit/selected-real-edges.csv')
    for e in edges.itertuples():
        records=d[d.edge_id==e.edge_id]
        assert len(records)>0
        assert records.source_neuron_idx.eq(e.source_neuron_idx).all()
        assert records.target_neuron_idx.eq(e.target_neuron_idx).all()
        assert records.raw_synapse_count.eq(e.raw_count).all()
    metadata=pd.read_parquet(Z/'audit/incoming-source-metadata.parquet').set_index('neuron_idx')
    watch=pd.read_parquet(Z/'audit/watched-metadata.parquet').set_index('neuron_idx')
    assert metadata.index.is_unique and watch.index.is_unique
    nodes=[1197,1381,1511,82312,133666]
    scopes={'pair':{1381,1511},'trio':{1197,1381,1511},'five':set(nodes)}
    summaries=[];types=[];sources=[]
    for (trial,period,target),g in d[d.target_neuron_idx.isin(nodes)].groupby(['trial','period','target_neuron_idx']):
        den=float(g.positive_arrival_sum.sum());neg=float(g.negative_arrival_sum.sum())
        assert den>0
        per=g.groupby('source_neuron_idx',sort=False).positive_arrival_sum.sum().sort_values(ascending=False,kind='stable')
        pos=per[per>0];n80=int(np.searchsorted(pos.cumsum().to_numpy(),.8*den,side='left')+1)
        alln=float(g.loc[g.source_role.eq('ALLN'),'positive_arrival_sum'].sum())
        alpn=float(g.loc[g.source_role.eq('ALPN'),'positive_arrival_sum'].sum())
        for scope,subset in scopes.items():
            internal=g.source_neuron_idx.isin(subset)&g.target_neuron_idx.isin(subset)
            num=float(g.loc[internal,'positive_arrival_sum'].sum())
            summaries.append(dict(trial=trial,period=period,target_neuron_idx=int(target),body_id=int(watch.loc[target,'body_id']),
                annotation_type=watch.loc[target,'annotation_type'],scope=scope,target_in_scope=bool(target in subset),
                positive_arrival_sum=den,negative_arrival_sum=neg,internal_positive_sum=num,
                internal_positive_fraction=num/den,outside_positive_fraction=(den-num)/den,
                active_positive_source_neurons=int(len(pos)),sources_for_80_percent=n80,
                ALLN_positive_fraction=alln/den,ALPN_positive_fraction=alpn/den))
        for src,value in per.items():
            m=metadata.loc[src]
            sources.append(dict(trial=trial,period=period,target_neuron_idx=int(target),source_neuron_idx=int(src),
                source_body_id=int(m.body_id),source_type=m.annotation_type,positive_arrival_sum=float(value),positive_fraction=float(value/den)))
        gg=g.assign(source_type=g.source_neuron_idx.map(metadata.annotation_type).fillna('UNKNOWN_TYPE'))
        for typ,z in gg.groupby('source_type'):
            types.append(dict(trial=trial,period=period,target_neuron_idx=int(target),source_type=str(typ),
                positive_arrival_sum=float(z.positive_arrival_sum.sum()),positive_fraction=float(z.positive_arrival_sum.sum()/den),
                source_neurons=int(z.source_neuron_idx.nunique())))
    summary=pd.DataFrame(summaries);summary.to_csv(OUT/'context-fractions.csv',index=False)
    pd.DataFrame(types).to_csv(OUT/'source-type-fractions.csv',index=False)
    pd.DataFrame(sources).to_csv(OUT/'source-neuron-fractions.csv',index=False)
    rep=pd.read_parquet(Z/'replay/results.parquet')
    rep=rep[rep.trial.isin(expected)&rep.neuron_idx.isin(nodes)&rep['mode'].isin(['base','omit_ALLN','omit_ALPN'])].copy()
    assert len(rep)==6*5*3
    rep.to_csv(OUT/'existing-conditional-replay.csv',index=False)
    late=summary[(summary.period=='late')&(summary.scope=='five')]
    iso=pd.read_csv(AC/'motifs/summary.csv')
    isi=pd.read_parquet(Z/'drive/late-ISI-and-g.parquet')
    isi=isi[isi.trial.isin(expected)&isi.neuron_idx.isin(nodes)]
    comparison=[]
    for node,g in late.groupby('target_neuron_idx'):
        rr=rep[rep.neuron_idx==node];ii=isi[isi.neuron_idx==node]
        row=dict(neuron_idx=int(node),body_id=int(watch.loc[node,'body_id']),type=str(watch.loc[node,'annotation_type']),
            internal_positive_fraction_min=float(g.internal_positive_fraction.min()),
            internal_positive_fraction_max=float(g.internal_positive_fraction.max()),
            sources_for_80_percent_min=int(g.sources_for_80_percent.min()),sources_for_80_percent_max=int(g.sources_for_80_percent.max()),
            positive_sources_min=int(g.active_positive_source_neurons.min()),positive_sources_max=int(g.active_positive_source_neurons.max()),
            isolated_five_late_spikes=int(iso[(iso.motif=='five')&(iso.neuron_idx==node)].late_spikes.iloc[0]),
            whole_brain_late_rate_min=float(ii.late_rate_hz.min()),whole_brain_late_rate_max=float(ii.late_rate_hz.max()))
        for mode in ('base','omit_ALLN','omit_ALPN'):
            vals=rr.loc[rr['mode']==mode,'late_spikes']
            row[mode+'_late_min']=int(vals.min());row[mode+'_late_max']=int(vals.max())
        comparison.append(row)
    comp=pd.DataFrame(comparison);comp.to_csv(OUT/'summary.csv',index=False)
    lines=['# Feedback motif contextualization — read-only review','',
        'This is not a new learning stage, intervention or model. Source: six archived calibration odors, one seed 131101, frozen_reference; all cases retained.',
        'Late interval 500–1,000 ms. Fractions measure positive arrived weights, not causal importance, g attribution or net excitation after inhibition/APL.', '',
        '| Target idx / type | Five-node internal positive input | Positive sources | Sources needed for 80% | Base late spikes | omit ALLN | omit ALPN |',
        '|---|---:|---:|---:|---:|---:|---:|']
    for r in comp.itertuples():
        lines.append(f'| {r.neuron_idx} / {r.type} | {100*r.internal_positive_fraction_min:.2f}–{100*r.internal_positive_fraction_max:.2f}% | {r.positive_sources_min}–{r.positive_sources_max} | {r.sources_for_80_percent_min}–{r.sources_for_80_percent_max} | {r.base_late_min}–{r.base_late_max} | {r.omit_ALLN_late_min}–{r.omit_ALLN_late_max} | {r.omit_ALPN_late_min}–{r.omit_ALPN_late_max} |')
    lines+=['', '## Consequence for the next experiment', '',
        'The two-cell loop can sustain activity in isolation, but the full-brain watched ALLNs receive most positive input from outside the five-cell motif. Do not target only this pair as the established unique cause.',
        'Existing conditional omissions freeze other recorded events: removing ALLN arrivals still leaves PN/other recorded drive. This establishes conditional sufficiency of residual input, NOT that an ALLN knockout in the live brain would fail.',
        'Likewise a large input fraction is not a causal fraction; small inputs can matter near threshold. The VA6->KC edge illustrates why fractions alone are not a deletion target ranking.',
        'Future separately authorized model tests should first validate operator semantics, then assess distributed local feedback and preservation of stimulus information, before learning. No gain/threshold/eta/mask tuning is licensed by this table.',
        'No new simulations, learning, weights or frozen-file changes. No heldout data used. Usable associative learning remains unachieved.','']
    with (OUT/'REPORT.md').open('x',encoding='utf-8') as f:f.write('\n'.join(lines))
    after=verify_inputs();assert before==after
    save(OUT/'verification.json',dict(pass_all=True,inputs_before_after_identical=True,
        inputs_checked=len(before),edge_identity_matches=13,frozen_source_CPU_replay_checks='Previously sealed Phase4Z regressions, not rerun here',
        new_simulations=0,learning_achieved=False))
    records=[dict(path=str(p.relative_to(OUT)),bytes=p.stat().st_size,sha256=sha(p)) for p in sorted(OUT.iterdir()) if p.is_file()]
    save(OUT/'manifest.json',dict(files=records))
    with (OUT/'checksums.sha256').open('x') as f:
        for r in records:f.write(r['sha256']+'  '+r['path']+'\n')
    print(comp.to_string(index=False));print('REVIEW SEALED; no new model or simulation')
 if __name__=='__main__':analyze()