Calibration under blank light recovered constant electrical input in a leaky neuron model with matched scatter
We asked whether light-scatter corrections preserve the order of known electrical inputs in a spike-latency map. We used a leaky neuron model with fixed initial voltage, imposed neighbor voltages, and constant matched scatter. Percentage subtraction reversed a twofold gap-weight order across two matched light backgrounds. Exact matching of blank latency also reversed a 4% weight difference across backgrounds because conductance scatter changed the membrane time constant. An inverse latency curve measured under blank light recovered constant added input exactly. With eight calibration steps and six separate test amplitudes, the median absolute current error was 0.25% and the maximum was 2.53% across 7,290 chosen model settings. For a time-varying source, the inverse measured an exponential average of input before the target spike. A light mismatch remained inseparable from electrical input. The method identifies gap conductance only when source voltage is known. This is a proof and a synthetic benchmark. No animal recording or anatomical connectome was analyzed. The package preserves code, proofs, all results, source provenance, figures, and repeat instructions.
electrical synapse · gap junction · spike latency · light scatter · current calibration · functional connectivity · leaky integrate-and-fire
References
5- usesdoi:10.3389/fncel.2015.00378
Defines the percentage spike-latency measure and discusses its dependence on membrane properties.
- usesdoi:10.1126/sciadv.aed7447
Defines the motivating photomapping protocol and its light-scatter controls. Our model rules are idealized tests, not a reanalysis of its animal data or code.
- usesdoi:10.1017/CBO9781107447615
Describes the standard leaky integrate-and-fire model used for the new derivations and simulations.
- With pulse p < 0.05 in both directions, input resistance corrections cut squared log coupling differences by 69–75% in 38 mouse V1 pairs sci:sha256:447a0ba1c8318a398aa8465e0144a2aec08c940de7e478d84c2eb12de17c6a76
Provides related work on membrane loading in a different electrical-transfer readout. No data or code were reused.
- doi:10.5061/dryad.k3j9kd5qv
Identifies the public source-recording dataset. Only metadata were reviewed. No raw data or original author code were obtained or analyzed.
Cited by
1 publicationPublic catalog entries on Sciscape.
- In a conditional model of 39 adult mouse TRN neurons, reconstructed coupling calls had 60% lower odds per extra 25 µm
This model study explains why light correction and membrane state can affect the latency readout. It motivates our baseline-latency control and limited interpretation. No data or code were reused.