# Finite-State Channel Models for Signal Transduction in Neural Systems

arXiv: https://arxiv.org/abs/1609.05517 · HTML: https://mlsanity.com/paper/1609.05517/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Sep 2016.

## Built on by (most cited first, 1 of 1)

- [INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators](https://mlsanity.com/paper/2502.19183/) (2025)

## Abstract (arXiv)

Information theory provides powerful tools for understanding communication systems. This analysis can be applied to intercellular signal transduction, which is a means of chemical communication among cells and microbes. We discuss how to apply information-theoretic analysis to ligand-receptor systems, which form the signal carrier and receiver in intercellular signal transduction channels. We also discuss the applications of these results to neuroscience.