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- W3143059629 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." @default.
- W3143059629 created "2021-04-13" @default.
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- W3143059629 date "2021-04-07" @default.
- W3143059629 modified "2023-09-28" @default.
- W3143059629 title "Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging" @default.
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- W3143059629 doi "https://doi.org/10.1007/s10827-020-00774-1" @default.
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