Maximum Caliber Infers Effective Coupling and Response from Spiking Networks
Neurons and Cognition
2024-05-27 v1 Biological Physics
Abstract
The characterization of network and biophysical properties from neural spiking activity is an important goal in neuroscience. A framework that provides unbiased inference on causal synaptic interaction and single neural properties has been missing. Here we applied the stochastic dynamics extension of Maximum Entropy -- the Maximum Caliber Principle -- to infer the transition rates of network states. Effective synaptic coupling strength and neuronal response functions for various network motifs can then be computed. The inferred minimal model also enables leading-order reconstruction of inter-spike interval distribution. Our method is tested with numerical simulated spiking networks and applied to data from salamander retina.
Cite
@article{arxiv.2405.15206,
title = {Maximum Caliber Infers Effective Coupling and Response from Spiking Networks},
author = {Kevin S. Chen and Ying-Jen Yang},
journal= {arXiv preprint arXiv:2405.15206},
year = {2024}
}