Decoding Network Structure and Function from Spatio-Temporal Electrophysiological Signal Sequences in Neuronal Cultures

We present a Reservoir Computing Network (RCN) model to analyze spatio-temporal electrophysiological data from neuronal cultures, outperforming standard methods in reconstructing connectivity and predicting network responses to stimuli.

Authors

Lorenzo Pavesi (ORCID: https://orcid.org/0000-0001-7316-6034)
Ilya Auslender (ORCID: https://orcid.org/0009-0000-9519-0879)

Institutions

University of Trento (IT)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.1364/cleo_si.2025.ss145_1
Primary Topic: Neural dynamics and brain function
Type: article
Field-Weighted Citation Impact: 0.00

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article

Decoding Network Structure and Function from Spatio-Temporal Electrophysiological Signal Sequences in Neuronal Cultures

Lorenzo Pavesi, Ilya Auslender

Jan 1, 2025

Neural dynamics and brain function

article

Decoding Network Structure and Function from Spatio-Temporal Electrophysiological Signal Sequences in Neuronal Cultures

Lorenzo Pavesi, Ilya Auslender

January 1, 2025article en

Abstract

University of Trento (IT)

Openalex Percentile: Top 74%

Neural dynamics and brain function

DOI Source OpenAlex

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Decoding Network Structure and Function from Spatio-Temporal Electrophysiological Signal Sequences in Neuronal Cultures — Lorenzo Pavesi, Ilya Auslender · (2025) | TGRS Research Map | TGRS