Frequency variation analysis in neuronal cultures for stimulus response characterization

Val-Calvo, Mikel, Álvarez-Sánchez, José Ramón, Alegre-Cortés, Javier, de la Paz López, Félix, Ferrández-Vicente, José Manuel, Fernández-Jover, Eduardo y Val-Calvo, Inhar . (2019) Frequency variation analysis in neuronal cultures for stimulus response characterization. Neural Computing and Applications

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Título Frequency variation analysis in neuronal cultures for stimulus response characterization
Autor(es) Val-Calvo, Mikel
Álvarez-Sánchez, José Ramón
Alegre-Cortés, Javier
de la Paz López, Félix
Ferrández-Vicente, José Manuel
Fernández-Jover, Eduardo
Val-Calvo, Inhar
Materia(s) Ingeniería Informática
Abstract In vitro neuronal cultures embodied in a closed-loop control system have been used recently to study neuronal dynamics. This allows the development of neurons in a controlled environment with the purpose of exploring the computational capabilities of such biological neural networks. Due to the intrinsic properties of in vitro neuronal cultures and how the neuronal tissue grows in them, the ways in which signals are transmitted and generated within and throughout the culture can be difficult to characterize. The neural code is formed by patterns of spikes whose properties are in essence nonlinear and non-stationary. The usual approach for this characterization has been the use of the post-stimulus time histogram (PSTH). PSTH is calculated by counting the spikes detected in each neuronal culture electrode during some time windows after a stimulus in one of the electrodes. The objective is to find pairs of electrodes where stimulation in one of the pairs produces a response in the other but not in the rest of the electrodes in other pairs. The aim of this work is to explore possible ways of extracting relevant information from the global response to culture stimulus by studying the patterns of variation over time for the firing rate, estimated from inverse inter-spike intervals, in each electrode. Machine learning methods can then be applied to distinguish the electrode being stimulated from the whole culture response, in order to obtain a better characterization of the culture and its computational capabilities so it can be useful for robotic applications
Palabras clave Dissociated neurons
Neuronal stimulation
Hybrots
Machine learning
Editor(es) Springer
Fecha 2019-01-03
Formato application/pdf
Identificador bibliuned:95-Dlpfeliz-0005
http://e-spacio.uned.es/fez/view/bibliuned:95-Dlpfeliz-0005
DOI - identifier 10.1007/s00521-018-3942-y
ISSN - identifier 1433-3058
Nombre de la revista Neural Computing and Applications
Número de Volumen 32
Página inicial 5027
Página final 5032
Publicado en la Revista Neural Computing and Applications
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in Neural Computing and Applications, is available online at the publisher's website: Springer https://doi.org/10.1007/s00521-018-3942-y
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Neural Computing and Applications, está disponible en línea en el sitio web del editor: Springer https://doi.org/10.1007/s00521-018-3942-y

 
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Creado: Sat, 27 Jan 2024, 02:51:15 CET