Full responses do not fix gap removal in a 302-cell worm model with filtered chemical currents and unknown capacitance and gains
We tested whether complete neural responses fix the effect of removing all gap junctions. The linear model has reciprocal gaps and chemical currents that tend to zero at high frequency. Cell capacitance, leak, input scale and readout scale are positive and unknown. We prove the full set of possible responses after removal. The Cook worm contact map has 302 cells and six gap components. It permits 296 independent local changes in the removed response, while every intact response stays equal. Relative capacitance ratios on a gap spanning forest fix the forecast. A chosen stable example halves AVAR capacitance and adjusts the other physical parameters. Its intact transfer stays exactly equal. Its steady self response after removal rises by 70.7 percent. No conductance or response was fitted to an animal. In the passive subset, each of 298 cells with gaps has no finite upper self-response bound. We give sharp marginal lower limits and check them with 596 linear programs. The package preserves proofs, a reusable model tool, contact facts, source hashes, full models, figures and repeat steps. These results assume complete cell access, exact responses and fixed cell properties during removal. They give no finite-bandwidth or noise guarantee.
connectome · gap junction · capacitance · identifiability · neural intervention · electrical coupling · C. elegans · linear model
References
8- 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 sci:sha256:76f1ccfc8d5fd7603827bc6a4aa22c9eb32fb273d7c3784aea54b41ca137fb57
We use its complete-response setting and extend its known-capacitance result to unknown capacitance.
- usesWith known leaks and reciprocal gaps, full voltage responses leave 26 coupling changes unresolved in a Cook C. elegans model with instantaneous chemical transmission sci:sha256:0c1c93618d6713502f3eae4aefb7443ba21acd429acb804f7548932c222ef542
We reuse its three factual contact tables. We check the signed archive and all original workbook entries.
- In one C. elegans model with free local loads, an exact DC and sine fit overestimated a gap weight for two chemical decay times sci:sha256:db6dba191b760d698870cfd43cd23e75ee1a6244bea71c5b7e97a3a7f463a6ad
This related study separates chemical filters and electrical coupling when responses are calibrated.
- usesdoi:10.1038/s41586-019-1352-7
The corrected July 2020 workbook supplies the whole-animal neural contact support.
- doi:10.1016/j.sysconle.2020.104849
This prior work describes compatible resistive-capacitive networks from input and output data.
- doi:10.1109/TCSI.2012.2215780
Kron reduction gives prior context for the Schur complement used in the sharp passive bound.
- doi:10.1523/ENEURO.0469-21.2022
This primary model study shows how cell properties and contact position affect electrical response asymmetry.
- doi:10.1038/s41586-023-06683-4
The neural signal propagation atlas supplies context for causal tests of wiring. We use none of its measurements.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- In a calibrated 302-neuron model with one-pole chemical filters and source-shared times, one exact sine response matrix identified electrical and chemical weights
This prior result explains why unknown capacitance and port scales can leave intervention ambiguity even with all-frequency data. It motivates the calibrated observation scope here.
- supportsA known uniform partial gap block fixed full-removal responses in linear models with exact maps, fixed properties and access to all changed endpoints
It showed that unknown capacitance and gains can leave gap-removal responses free under intact-only observation. We add a calibrated intervention condition that fixes the forecast under stated endpoint and fixed-property conditions.