Information processing at single neuron level

TL;DR

This paper proposes a new model of how individual neurons process signals by binding synaptic inputs based on their temporal coherence, with inhibition controlling this process, supported by Hodgkin-Huxley simulations.

Contribution

It introduces an abstract concept of single-neuron signal processing emphasizing temporal coherence and inhibitory control, based on numerical Hodgkin-Huxley neuron simulations.

Findings

Neuron binds inputs based on temporal coherence

Inhibition modulates input binding

Simulation supports the proposed processing mechanism

Abstract

Based on numerical simulation of Hodgkin and Huxley type neuron stimulated from many synaptic inputs, an abstract concept of signal processing in individual neuron is proposed. In the concept proposed, neuron performs binding of synaptic inputs into a single output event, based on the degree of temporal coherence between the inputs. Inhibition serves as controlling factor of this type of binding.