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.

Decoding Network Structure and Function from Spatio-Temporal Electrophysiological Signal Sequences in Neuronal Cultures / Auslender, I., Pavesi, L.. - (2025), pp. SS145_1-SS145_1. (2025 CLEO: Science and Innovations, CLEO-SI 2025 usa 2025) [10.1364/CLEO_SI.2025.SS145_1].

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

Auslender I.;Pavesi L.
2025-01-01

Abstract

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.
2025
CLEO: Science and Innovations - Proceedings CLEO 2025
Washington, D.C., United States
Optical Society of America
9781957171500
Decoding Network Structure and Function from Spatio-Temporal Electrophysiological Signal Sequences in Neuronal Cultures / Auslender, I., Pavesi, L.. - (2025), pp. SS145_1-SS145_1. (2025 CLEO: Science and Innovations, CLEO-SI 2025 usa 2025) [10.1364/CLEO_SI.2025.SS145_1].
Auslender, I.; Pavesi, L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/492416
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