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arXiv · 2309.06297

Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis

Ilya Auslender·Lorenzo Pavesi
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Abstract

In this paper we present a computational model which decodes the spatio-temporal data from electro-physiological measurements of neuronal networks and reconstructs the network structure on a macroscopic domain, representing the connectivity between neuronal units. The model is based on reservoir computing network (RCN) approach, where experimental data is used as training and validation data. Consequently, the model can be used to study the functionality of different neuronal cultures and simulate the network response to external stimuli.

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Ilya Auslender, Lorenzo Pavesi. 2023-09-12. Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis. https://doi.org/10.1109/cibcb56990.2023.10264895

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