Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging
Neurons
0301 basic medicine
0303 health sciences
disorder, zebrafish, light-sheet, two-photon
Models, Neurological
FOS: Physical sciences
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Condensed Matter - Disordered Systems and Neural Networks
Article
03 medical and health sciences
Quantitative Biology - Neurons and Cognition
FOS: Biological sciences
Animals
Neurons and Cognition (q-bio.NC)
Algorithms
Zebrafish
DOI:
10.1007/s10827-020-00774-1
Publication Date:
2021-04-07T08:03:57Z
AUTHORS (10)
ABSTRACT
AbstractAn 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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