State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures

Abstract Neuronal responses to external stimuli vary from trial to trial partly because they depend on continuous spontaneous variations of the state of neural circuits, reflected in variations of ongoing activity prior to stimulus presentation. Understanding how post-stimulus responses relate to th...

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Autores principales:	Thierry Nieus, Valeria D’Andrea, Hayder Amin, Stefano Di Marco, Houman Safaai, Alessandro Maccione, Luca Berdondini, Stefano Panzeri
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/352b774536e94089af20df71b519add7
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spelling	oai:doaj.org-article:352b774536e94089af20df71b519add72021-12-02T15:08:05ZState-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures10.1038/s41598-018-23853-x2045-2322https://doaj.org/article/352b774536e94089af20df71b519add72018-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-23853-xhttps://doaj.org/toc/2045-2322Abstract Neuronal responses to external stimuli vary from trial to trial partly because they depend on continuous spontaneous variations of the state of neural circuits, reflected in variations of ongoing activity prior to stimulus presentation. Understanding how post-stimulus responses relate to the pre-stimulus spontaneous activity is thus important to understand how state dependence affects information processing and neural coding, and how state variations can be discounted to better decode single-trial neural responses. Here we exploited high-resolution CMOS electrode arrays to record simultaneously from thousands of electrodes in in-vitro cultures stimulated at specific sites. We used information-theoretic analyses to study how ongoing activity affects the information that neuronal responses carry about the location of the stimuli. We found that responses exhibited state dependence on the time between the last spontaneous burst and the stimulus presentation and that the dependence could be described with a linear model. Importantly, we found that a small number of selected neurons carry most of the stimulus information and contribute to the state-dependent information gain. This suggests that a major value of large-scale recording is that it individuates the small subset of neurons that carry most information and that benefit the most from knowledge of its state dependence.Thierry NieusValeria D’AndreaHayder AminStefano Di MarcoHouman SafaaiAlessandro MaccioneLuca BerdondiniStefano PanzeriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-19 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Thierry Nieus Valeria D’Andrea Hayder Amin Stefano Di Marco Houman Safaai Alessandro Maccione Luca Berdondini Stefano Panzeri State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
description	Abstract Neuronal responses to external stimuli vary from trial to trial partly because they depend on continuous spontaneous variations of the state of neural circuits, reflected in variations of ongoing activity prior to stimulus presentation. Understanding how post-stimulus responses relate to the pre-stimulus spontaneous activity is thus important to understand how state dependence affects information processing and neural coding, and how state variations can be discounted to better decode single-trial neural responses. Here we exploited high-resolution CMOS electrode arrays to record simultaneously from thousands of electrodes in in-vitro cultures stimulated at specific sites. We used information-theoretic analyses to study how ongoing activity affects the information that neuronal responses carry about the location of the stimuli. We found that responses exhibited state dependence on the time between the last spontaneous burst and the stimulus presentation and that the dependence could be described with a linear model. Importantly, we found that a small number of selected neurons carry most of the stimulus information and contribute to the state-dependent information gain. This suggests that a major value of large-scale recording is that it individuates the small subset of neurons that carry most information and that benefit the most from knowledge of its state dependence.
format	article
author	Thierry Nieus Valeria D’Andrea Hayder Amin Stefano Di Marco Houman Safaai Alessandro Maccione Luca Berdondini Stefano Panzeri
author_facet	Thierry Nieus Valeria D’Andrea Hayder Amin Stefano Di Marco Houman Safaai Alessandro Maccione Luca Berdondini Stefano Panzeri
author_sort	Thierry Nieus
title	State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
title_short	State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
title_full	State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
title_fullStr	State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
title_full_unstemmed	State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
title_sort	state-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/352b774536e94089af20df71b519add7
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State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures

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