Analytical modelling of temperature effects on synapses

TL;DR

This paper introduces an analytical model for AMPA receptor conductance that incorporates temperature effects, enabling more accurate and scalable neural network simulations across different brain temperatures.

Contribution

It presents the first analytical model of synaptic conductance that accounts for temperature effects, based on Markov receptor kinetics and simplified assumptions.

Findings

Model accurately describes temperature influence on AMPA conductance.

Enables scalable simulations of neural networks with temperature variability.

Facilitates research on temperature effects on brain function.

Abstract

It was previously reported, that temperature may significantly influence neural dynamics on different levels of brain modelling. Due to this fact, while creating the model in computational neuroscience we would like to make it scalable for wide-range of various brain temperatures. However currently, because of a lack of experimental data and an absence of analytical model describing temperature influence on synapses, it is not possible to include temperature effects on multi-neuron modelling level. In this paper, we propose first step to deal with this problem: new analytical model of AMPA-type synaptic conductance, which is able to include temperature effects in low-frequency stimulations. It was constructed on basis of Markov model description of AMPA receptor kinetics and few simplifications motivated both experimentally and from Monte Carlo simulation of synaptic transmission. The model may be used for efficient and accurate implementation of temperature effects on AMPA receptor conductance in large scale neural network simulations. This in fact, opens wide-range of new possibilities for researching an influence of temperature on brain functioning.