Information-theoretical analysis of the neural code in the rodent temporal lobe
- Autores
- Maidana Capitán, Melisa Beatriz; Kropff, Emilio; Samengo, Ines
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In the study of the neural code, information-theoretical methods have the advantage of making no assumptions about the probabilistic mapping between stimuli and responses. In the sensory domain, several methods have been developed to quantify the amount of information encoded in neural activity, without necessarily identifying the specific stimulus or response features that instantiate the code. As a proof of concept, here we extend those methods to the encoding of kinematic information in a navigating rodent. We estimate the information encoded in two well-characterized codes, mediated by the firing rate of neurons, and by the phase-of-firing with respect to the theta-filtered local field potential. In addition, we also consider a novel code, mediated by the delta-filtered local field potential. We find that all three codes transmit significant amounts of kinematic information, and informative neurons tend to employ a combination of codes. Cells tend to encode conjunctions of kinematic features, so that most of the informative neurons fall outside the traditional cell types employed to classify spatially-selective units. We conclude that a broad perspective on the candidate stimulus and response features expands the repertoire of strategies with which kinematic information is encoded.
Fil: Maidana Capitán, Melisa Beatriz. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kropff, Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Instituto Leloir; Argentina
Fil: Samengo, Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina - Materia
-
ENTORHINAL CORTEX
HIPPOCAMPUS
MUTUAL INFORMATION
NAVIGATION
NEURAL CODE
REDUNDANCY
SYNERGY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/102618
Ver los metadatos del registro completo
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Information-theoretical analysis of the neural code in the rodent temporal lobeMaidana Capitán, Melisa BeatrizKropff, EmilioSamengo, InesENTORHINAL CORTEXHIPPOCAMPUSMUTUAL INFORMATIONNAVIGATIONNEURAL CODEREDUNDANCYSYNERGYhttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3In the study of the neural code, information-theoretical methods have the advantage of making no assumptions about the probabilistic mapping between stimuli and responses. In the sensory domain, several methods have been developed to quantify the amount of information encoded in neural activity, without necessarily identifying the specific stimulus or response features that instantiate the code. As a proof of concept, here we extend those methods to the encoding of kinematic information in a navigating rodent. We estimate the information encoded in two well-characterized codes, mediated by the firing rate of neurons, and by the phase-of-firing with respect to the theta-filtered local field potential. In addition, we also consider a novel code, mediated by the delta-filtered local field potential. We find that all three codes transmit significant amounts of kinematic information, and informative neurons tend to employ a combination of codes. Cells tend to encode conjunctions of kinematic features, so that most of the informative neurons fall outside the traditional cell types employed to classify spatially-selective units. We conclude that a broad perspective on the candidate stimulus and response features expands the repertoire of strategies with which kinematic information is encoded.Fil: Maidana Capitán, Melisa Beatriz. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kropff, Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Instituto Leloir; ArgentinaFil: Samengo, Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; ArgentinaMolecular Diversity Preservation International2018-08info: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/11336/102618Maidana Capitán, Melisa Beatriz; Kropff, Emilio; Samengo, Ines; Information-theoretical analysis of the neural code in the rodent temporal lobe; Molecular Diversity Preservation International; Entropy; 20; 8; 8-2018; 1-271099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/8/571/htminfo:eu-repo/semantics/altIdentifier/doi/10.3390/e20080571info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:45:51Zoai:ri.conicet.gov.ar:11336/102618instacron: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:34982025-11-05 09:45:51.738CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| title |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| spellingShingle |
Information-theoretical analysis of the neural code in the rodent temporal lobe Maidana Capitán, Melisa Beatriz ENTORHINAL CORTEX HIPPOCAMPUS MUTUAL INFORMATION NAVIGATION NEURAL CODE REDUNDANCY SYNERGY |
| title_short |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| title_full |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| title_fullStr |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| title_full_unstemmed |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| title_sort |
Information-theoretical analysis of the neural code in the rodent temporal lobe |
| dc.creator.none.fl_str_mv |
Maidana Capitán, Melisa Beatriz Kropff, Emilio Samengo, Ines |
| author |
Maidana Capitán, Melisa Beatriz |
| author_facet |
Maidana Capitán, Melisa Beatriz Kropff, Emilio Samengo, Ines |
| author_role |
author |
| author2 |
Kropff, Emilio Samengo, Ines |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
ENTORHINAL CORTEX HIPPOCAMPUS MUTUAL INFORMATION NAVIGATION NEURAL CODE REDUNDANCY SYNERGY |
| topic |
ENTORHINAL CORTEX HIPPOCAMPUS MUTUAL INFORMATION NAVIGATION NEURAL CODE REDUNDANCY SYNERGY |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.5 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
In the study of the neural code, information-theoretical methods have the advantage of making no assumptions about the probabilistic mapping between stimuli and responses. In the sensory domain, several methods have been developed to quantify the amount of information encoded in neural activity, without necessarily identifying the specific stimulus or response features that instantiate the code. As a proof of concept, here we extend those methods to the encoding of kinematic information in a navigating rodent. We estimate the information encoded in two well-characterized codes, mediated by the firing rate of neurons, and by the phase-of-firing with respect to the theta-filtered local field potential. In addition, we also consider a novel code, mediated by the delta-filtered local field potential. We find that all three codes transmit significant amounts of kinematic information, and informative neurons tend to employ a combination of codes. Cells tend to encode conjunctions of kinematic features, so that most of the informative neurons fall outside the traditional cell types employed to classify spatially-selective units. We conclude that a broad perspective on the candidate stimulus and response features expands the repertoire of strategies with which kinematic information is encoded. Fil: Maidana Capitán, Melisa Beatriz. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Kropff, Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Instituto Leloir; Argentina Fil: Samengo, Ines. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina |
| description |
In the study of the neural code, information-theoretical methods have the advantage of making no assumptions about the probabilistic mapping between stimuli and responses. In the sensory domain, several methods have been developed to quantify the amount of information encoded in neural activity, without necessarily identifying the specific stimulus or response features that instantiate the code. As a proof of concept, here we extend those methods to the encoding of kinematic information in a navigating rodent. We estimate the information encoded in two well-characterized codes, mediated by the firing rate of neurons, and by the phase-of-firing with respect to the theta-filtered local field potential. In addition, we also consider a novel code, mediated by the delta-filtered local field potential. We find that all three codes transmit significant amounts of kinematic information, and informative neurons tend to employ a combination of codes. Cells tend to encode conjunctions of kinematic features, so that most of the informative neurons fall outside the traditional cell types employed to classify spatially-selective units. We conclude that a broad perspective on the candidate stimulus and response features expands the repertoire of strategies with which kinematic information is encoded. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018-08 |
| 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/11336/102618 Maidana Capitán, Melisa Beatriz; Kropff, Emilio; Samengo, Ines; Information-theoretical analysis of the neural code in the rodent temporal lobe; Molecular Diversity Preservation International; Entropy; 20; 8; 8-2018; 1-27 1099-4300 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/102618 |
| identifier_str_mv |
Maidana Capitán, Melisa Beatriz; Kropff, Emilio; Samengo, Ines; Information-theoretical analysis of the neural code in the rodent temporal lobe; Molecular Diversity Preservation International; Entropy; 20; 8; 8-2018; 1-27 1099-4300 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
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eng |
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info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1099-4300/20/8/571/htm info:eu-repo/semantics/altIdentifier/doi/10.3390/e20080571 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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application/pdf application/pdf application/pdf |
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Molecular Diversity Preservation International |
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Molecular Diversity Preservation International |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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