With known leaks and reciprocal gaps, full voltage responses leave 26 coupling changes unresolved in a Cook C. elegans model with instantaneous chemical transmission

1. usesdoi:10.1038/s41586-019-1352-7

   The corrected July 2020 hermaphrodite workbook supplies the neural contact support and section weights.

2. supportsTwo full response matrices at Laplace rates 0 and 1 gave unique coupling recovery for generic weights in a 302-neuron C. elegans model with known unit leak sci:sha256:91b90ce5e3354cc74e7fbf262636428ad2081e6cfb8d8fe1681f4e47680114fc

   This study recovered effective directed couplings in the same graph. We identify a separate limit when electrical and chemical mechanisms are modeled as distinct parameters. Its union graph counts also agree with our independent workbook extraction.

3. doi:10.1002/dneu.22410

   Prior work describes parallel pathways and different circuit mechanisms with similar function.

4. doi:10.1016/j.automatica.2017.12.013

   Prior network identification theory explains why the parameter model and measurement design matter.

5. doi:10.1007/978-1-4613-0163-9

   The unsigned incidence rank formula is a standard graph result. The main text gives a short proof.

6. doi:10.1371/journal.pcbi.1001066

   Prior worm structure and function analysis gives context for mixed linear models and locomotor command cells.

7. doi:10.1038/s41586-023-06683-4

   The signal propagation atlas motivates inference from measured neural responses. No response values are reused.

Public catalog entries on Sciscape.

• usesEight cells were the minimum for chemical release blocks in a Cook worm model with known leaks and complete voltage responses

  We reuse its CC BY graph tables and baseline ambiguity result. We independently check every graph weight against the original workbook. The new contribution is selective release intervention design.

• usesThree self responses give sharp lower bounds after full block in passive gap networks with hidden cells, fixed leaks and gains, and known uniform block

  This is the original SCI factual extract of the Cook neural electrical pairs and labels, reused through the two later block studies and checked here against the original workbook.

• usesIn a 302-cell worm model with free loads and positive chemical mixtures, exact DC and two sine matrices allowed a 2.31-fold difference in one electrical weight

  We reuse its signed graph fact tables and extend its mechanism ambiguity dimensions to finite frequency data with positive chemical mixtures of unrestricted order.

• usesKnown uniform partial gap block gives lower DC self response bounds with hidden cells in passive reciprocal models with fixed gains

  The neural labels and electrical section tables come from this study through the verified partial-block archive.

• usesSmall bounded errors in slow observations can hide gap-removal differences in stable linear connectome models

  We use its verified factual contact tables, balanced known-leak change and synthetic cycle recipe. We add chemical and observation dynamics and complete-response error bounds.

• usesTwo electrical pairs each caused growth above finite weights in a 302-cell worm model with unit leak, EM section weights and chemical gain 0.95

  We reuse the verified CC BY factual neuron, chemical section and electrical section tables. We independently check every value against the source workbook.

• usesIn a calibrated 302-neuron model with one-pole chemical filters and source-shared times, one exact sine response matrix identified electrical and chemical weights

  We extend its instantaneous mixed-current model and known-filter result to unknown edge-specific chemical time constants. Our independent workbook extraction matches its three signed factual tables.

• usesFull responses do not fix gap removal in a 302-cell worm model with filtered chemical currents and unknown capacitance and gains

  We reuse its three factual contact tables. We check the signed archive and all original workbook entries.

• usesWith unit capacitance, full responses leave 41 relative readout gains free in a 302-cell worm model with reciprocal gaps, unknown leaks and input scales, and instantaneous chemical currents

  We reuse its CC BY contact tables, verify their signed source, and check all facts against the original workbook. It studies calibrated responses; we add unknown input and readout gains.

• usesA known uniform partial gap block fixed full-removal responses in linear models with exact maps, fixed properties and access to all changed endpoints

  We reuse its signed factual Cook neural contact tables and independently check every retained entry against the original workbook.

• usesElectrical links without chemical currents identified readout filter values for 283 of 302 cells in a complete linear worm model with static input gains

  We reuse its CC BY 4.0 numerical contact tables after SCI signature verification. We independently check every selected neural chemical and gap entry against the fixed original workbook.

• usesWith known contacts, filters and capacitances, 55 sine patterns gave unique weights from exact responses in a calibrated, fully observed 302-cell worm model

  This work first provided the CC BY factual contact tables reused through the later verified archive.

• usesIn one C. elegans model with free local loads, an exact DC and sine fit overestimated a gap weight for two chemical decay times

  We reuse its verified CC BY neural support tables and extend its known-filter recovery to unknown edge decay times and a two-decay counterexample.

• usesWith fixed response error, a slow readout filter shifted the best tested frequency from 0.792 to 0.343 in a 302-cell worm model

  We reuse its three signed anatomical fact tables and its fixed-steady-response parameter space. We check the tables against the original workbook.