mletools: neural network connectivity reconstruction from spike data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 May 2015Publisher:ZenodoFunded by:SNSF | Neuronal Coding and Proce..., EC | MULTIRULES

Authors: Zaytsev, Yury V.; Morrison, Abigail; Deger, Moritz;

doi: 10.5281/zenodo.17663

mletools: neural network connectivity reconstruction from spike data

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Abstract

The code contained in this package was used to obtain the results presented in the article Zaytsev YV, Morrison A, Deger M: Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity. Journal of Computational Neuroscience (2015) DOI: 10.1007/s10827-015-0565-5 This software is (C) 2010-2015 Yury V. Zaytsev <yury@zaytsev.net>.

{"references": ["Zaytsev YV, Morrison A, Deger M: Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity. Journal of Computational Neuroscience (2015)"]}

Keywords

Connectome identification, Network topology, Connectivity inference, Inverse problem, Generalized linear model, Spike trains, Penalized likelihood, Maximum likelihood estimation, Sparsity, Synaptic connectivity, Point process

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