Ephaptic information flow: Information processing in groups of neurons

In this paper, we are interested in determining the information bearing properties and abilities of the Hodgkin‐Huxley equation. For the case of a single axon, we describe precisely how the mutual information between the input and the output of the model can be computed. We extend this to the case of coupled equations and find the intriguing numerical result that mutual information between the input and output variables decreases as ephaptic coupling strength increases. Our results indicate that extracellular effects act as distortion vis-a-vis the information borne by the axons. Incorporating extracellular effects explicitly in the “W” coupling matrix by making it a matrix of vectors instead of scalars, we show that under ephaptic coupling, the corresponding synaptic signal depends on these effects.

Authors

Institutions

Publication Details

Journal
Physics Essays
Published
2025-03-10
DOI
https://doi.org/10.4006/0836-1398-38.1.57
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ephaptic information flow: Information processing in groups of neurons

Aman Chawla, S.D. Morgera
Physics Essays
Neural dynamics and brain function
article

Ephaptic information flow: Information processing in groups of neurons

Aman Chawla, S.D. Morgera
article en

Abstract

In this paper, we are interested in determining the information bearing properties and abilities of the Hodgkin‐Huxley equation. For the case of a single axon, we describe precisely how the mutual information between the input and the output of the model can be computed. We extend this to the case of coupled equations and find the intriguing numerical result that mutual information between the input and output variables decreases as ephaptic coupling strength increases. Our results indicate that extracellular effects act as distortion vis-a-vis the information borne by the axons. Incorporating extracellular effects explicitly in the “W” coupling matrix by making it a matrix of vectors instead of scalars, we show that under ephaptic coupling, the corresponding synaptic signal depends on these effects.

Physics EssaysVol. 38(1)
Neurological Surgery (US), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 71%
Neural dynamics and brain function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.