Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging
Abstract
An inverse procedure is developed and tested to recover functional and structural information from global signals of brains activity. The method assumes a leaky-integrate and fire model with excitatory and inhibitory neurons, coupled via a directed network. Neurons are endowed with a heterogenous current value, which sets their associated dynamical regime. By making use of a heterogenous mean-field approximation, the method seeks to reconstructing from global activity patterns the distribution of in-coming degrees, for both excitatory and inhibitory neurons, as well as the distribution of the assigned currents. The proposed inverse scheme is first validated against synthetic data. Then, time-lapse acquisitions of a zebrafish larva recorded with a two-photon light sheet microscope are used as an input to the reconstruction algorithm. A power law distribution of the in-coming connectivity of the excitatory neurons is found. Local degree distributions are also computed by segmenting the whole brain in sub-regions traced from annotated atlas.
Keywords
Cite
@article{arxiv.2007.04370,
title = {Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging},
author = {Lorenzo Chicchi and Gloria Cecchini and Ihusan Adam and Giuseppe de Vito and Roberto Livi and Francesco Saverio Pavone and Ludovico Silvestri and Lapo Turrini and Francesco Vanzi and Duccio Fanelli},
journal= {arXiv preprint arXiv:2007.04370},
year = {2021}
}