Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging
- Chicchi, L., Cecchini, G., Adam, I., de Vito, G., Livi, R., Pavone, F.S., Silvestri, L., Turrini, L., Vanzi, F., Fanelli, D.
- Journal of computational neuroscience 49(2): 159-174 (Journal)
- Registered Authors
- Turrini, Lapo, Vanzi, Francesco
- Heterogeneous mean field approximation, Leak integrate and fire, Network reconstruction, Neuroscience, Zebrafish larva
- MeSH Terms
- Models, Neurological*
- 33826050 Full text @ J Comput Neurosci
Chicchi, L., Cecchini, G., Adam, I., de Vito, G., Livi, R., Pavone, F.S., Silvestri, L., Turrini, L., Vanzi, F., Fanelli, D. (2021) Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging. Journal of computational neuroscience. 49(2):159-174.
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.
Genes / Markers
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Engineered Foreign Genes