PUBLICATION

Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging

Authors
Chicchi, L., Cecchini, G., Adam, I., de Vito, G., Livi, R., Pavone, F.S., Silvestri, L., Turrini, L., Vanzi, F., Fanelli, D.
ID
ZDB-PUB-210409-5
Date
2021
Source
Journal of computational neuroscience   49(2): 159-174 (Journal)
Registered Authors
Turrini, Lapo, Vanzi, Francesco
Keywords
Heterogeneous mean field approximation, Leak integrate and fire, Network reconstruction, Neuroscience, Zebrafish larva
MeSH Terms
  • Algorithms
  • Animals
  • Models, Neurological*
  • Neurons
  • Zebrafish*
PubMed
33826050 Full text @ J Comput Neurosci
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.
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