Reconstruction of sparse connectivity in neural networks from spike train covariances

DOI10.1088/1742-5468/2013/03/P03008zbMath1456.92033MaRDI QIDQ3301548

Volker Pernice, Stefan Rotter

Publication date: 11 August 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (4)

Two stage approach to functional network reconstruction for binary time-series ⋮ Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity ⋮ Inference of synaptic connectivity and external variability in neural microcircuits ⋮ Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings

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