Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics
- Autores
- Ribeiro, Tiago L.; Jendrichovsky, Peter; Yu, Shan; Mártin, Daniel Alejandro; Kanold, Patrick O.; Chialvo, Dante Renato; Plenz, Dietmar
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In the mammalian cortex, even simple sensory inputs or movements activate many neurons, with eachneuron responding variably to repeated stimuli—a phenomenon known as trial-by-trial variability. Understanding the spatial patterns and dynamics of this variability is challenging. Using cellular 2-photon imaging,we study visual and auditory responses in the primary cortices of awake mice. We focus on how individualneurons’ responses differed from the overall population. We find consistent spatial correlations in thesedifferences that are unique to each trial and linearly scale with the cortical area observed, a characteristicof critical dynamics as confirmed in our neuronal simulations. Using chronic multi-electrode recordings,we observe similar scaling in the prefrontal and premotor cortex of non-human primates during self-initiatedand visually cued motor tasks. These results suggest that trial-by-trial variability, rather than being randomnoise, reflects a critical, fluctuation-dominated state in the cortex, supporting the brain’s efficiency in processing information.
Fil: Ribeiro, Tiago L.. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Jendrichovsky, Peter. University Johns Hopkins; Estados Unidos
Fil: Yu, Shan. Chinese Academy of Sciences; República de China. Public Health Service. National Institute Of Health; Estados Unidos
Fil: Mártin, Daniel Alejandro. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina
Fil: Kanold, Patrick O.. University Johns Hopkins; Estados Unidos
Fil: Chialvo, Dante Renato. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina
Fil: Plenz, Dietmar. Public Health Service. National Institute Of Health; Estados Unidos - Materia
-
MOUSE
PRIMARY SENSORY CORTEX
SPATIAL CORRELATION
CRITICALITY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/258208
Ver los metadatos del registro completo
id |
CONICETDig_568389e358a54d5525d584452f3de21a |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/258208 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamicsRibeiro, Tiago L.Jendrichovsky, PeterYu, ShanMártin, Daniel AlejandroKanold, Patrick O.Chialvo, Dante RenatoPlenz, DietmarMOUSEPRIMARY SENSORY CORTEXSPATIAL CORRELATIONCRITICALITYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In the mammalian cortex, even simple sensory inputs or movements activate many neurons, with eachneuron responding variably to repeated stimuli—a phenomenon known as trial-by-trial variability. Understanding the spatial patterns and dynamics of this variability is challenging. Using cellular 2-photon imaging,we study visual and auditory responses in the primary cortices of awake mice. We focus on how individualneurons’ responses differed from the overall population. We find consistent spatial correlations in thesedifferences that are unique to each trial and linearly scale with the cortical area observed, a characteristicof critical dynamics as confirmed in our neuronal simulations. Using chronic multi-electrode recordings,we observe similar scaling in the prefrontal and premotor cortex of non-human primates during self-initiatedand visually cued motor tasks. These results suggest that trial-by-trial variability, rather than being randomnoise, reflects a critical, fluctuation-dominated state in the cortex, supporting the brain’s efficiency in processing information.Fil: Ribeiro, Tiago L.. Public Health Service. National Institute Of Health; Estados UnidosFil: Jendrichovsky, Peter. University Johns Hopkins; Estados UnidosFil: Yu, Shan. Chinese Academy of Sciences; República de China. Public Health Service. National Institute Of Health; Estados UnidosFil: Mártin, Daniel Alejandro. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; ArgentinaFil: Kanold, Patrick O.. University Johns Hopkins; Estados UnidosFil: Chialvo, Dante Renato. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; ArgentinaFil: Plenz, Dietmar. Public Health Service. National Institute Of Health; Estados UnidosCell Press2024-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/258208Ribeiro, Tiago L.; Jendrichovsky, Peter; Yu, Shan; Mártin, Daniel Alejandro; Kanold, Patrick O.; et al.; Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics; Cell Press; Plant Cell Reports; 43; 2; 2-20242211-1247CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.celrep.2024.113762info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:52Zoai:ri.conicet.gov.ar:11336/258208instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:34:52.752CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
title |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
spellingShingle |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics Ribeiro, Tiago L. MOUSE PRIMARY SENSORY CORTEX SPATIAL CORRELATION CRITICALITY |
title_short |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
title_full |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
title_fullStr |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
title_full_unstemmed |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
title_sort |
Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics |
dc.creator.none.fl_str_mv |
Ribeiro, Tiago L. Jendrichovsky, Peter Yu, Shan Mártin, Daniel Alejandro Kanold, Patrick O. Chialvo, Dante Renato Plenz, Dietmar |
author |
Ribeiro, Tiago L. |
author_facet |
Ribeiro, Tiago L. Jendrichovsky, Peter Yu, Shan Mártin, Daniel Alejandro Kanold, Patrick O. Chialvo, Dante Renato Plenz, Dietmar |
author_role |
author |
author2 |
Jendrichovsky, Peter Yu, Shan Mártin, Daniel Alejandro Kanold, Patrick O. Chialvo, Dante Renato Plenz, Dietmar |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
MOUSE PRIMARY SENSORY CORTEX SPATIAL CORRELATION CRITICALITY |
topic |
MOUSE PRIMARY SENSORY CORTEX SPATIAL CORRELATION CRITICALITY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
In the mammalian cortex, even simple sensory inputs or movements activate many neurons, with eachneuron responding variably to repeated stimuli—a phenomenon known as trial-by-trial variability. Understanding the spatial patterns and dynamics of this variability is challenging. Using cellular 2-photon imaging,we study visual and auditory responses in the primary cortices of awake mice. We focus on how individualneurons’ responses differed from the overall population. We find consistent spatial correlations in thesedifferences that are unique to each trial and linearly scale with the cortical area observed, a characteristicof critical dynamics as confirmed in our neuronal simulations. Using chronic multi-electrode recordings,we observe similar scaling in the prefrontal and premotor cortex of non-human primates during self-initiatedand visually cued motor tasks. These results suggest that trial-by-trial variability, rather than being randomnoise, reflects a critical, fluctuation-dominated state in the cortex, supporting the brain’s efficiency in processing information. Fil: Ribeiro, Tiago L.. Public Health Service. National Institute Of Health; Estados Unidos Fil: Jendrichovsky, Peter. University Johns Hopkins; Estados Unidos Fil: Yu, Shan. Chinese Academy of Sciences; República de China. Public Health Service. National Institute Of Health; Estados Unidos Fil: Mártin, Daniel Alejandro. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina Fil: Kanold, Patrick O.. University Johns Hopkins; Estados Unidos Fil: Chialvo, Dante Renato. Universidad Nacional de San Martin. Escuela de Ciencia y Tecnologia. Centro de Estudios Multidisciplinarios En Sistemas Complejos y Ciencias del Cerebro.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina Fil: Plenz, Dietmar. Public Health Service. National Institute Of Health; Estados Unidos |
description |
In the mammalian cortex, even simple sensory inputs or movements activate many neurons, with eachneuron responding variably to repeated stimuli—a phenomenon known as trial-by-trial variability. Understanding the spatial patterns and dynamics of this variability is challenging. Using cellular 2-photon imaging,we study visual and auditory responses in the primary cortices of awake mice. We focus on how individualneurons’ responses differed from the overall population. We find consistent spatial correlations in thesedifferences that are unique to each trial and linearly scale with the cortical area observed, a characteristicof critical dynamics as confirmed in our neuronal simulations. Using chronic multi-electrode recordings,we observe similar scaling in the prefrontal and premotor cortex of non-human primates during self-initiatedand visually cued motor tasks. These results suggest that trial-by-trial variability, rather than being randomnoise, reflects a critical, fluctuation-dominated state in the cortex, supporting the brain’s efficiency in processing information. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/258208 Ribeiro, Tiago L.; Jendrichovsky, Peter; Yu, Shan; Mártin, Daniel Alejandro; Kanold, Patrick O.; et al.; Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics; Cell Press; Plant Cell Reports; 43; 2; 2-2024 2211-1247 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/258208 |
identifier_str_mv |
Ribeiro, Tiago L.; Jendrichovsky, Peter; Yu, Shan; Mártin, Daniel Alejandro; Kanold, Patrick O.; et al.; Trial-by-trial variability in cortical responses exhibits scaling of spatial correlations predicted from critical dynamics; Cell Press; Plant Cell Reports; 43; 2; 2-2024 2211-1247 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.celrep.2024.113762 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Cell Press |
publisher.none.fl_str_mv |
Cell Press |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613081552912384 |
score |
13.070432 |