About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems

Autores
Alvarez Toro, Edgardo Orozimbo; Ratti, Silvia Gabriela
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Learning can be considered a fundamental evolutionary advance to those living systems that acquired this capacity during the early evolution of life. Perception of an environment that has past and present permitted primitive animals to acquire a more complete vision of the surrounding world. The cognitive use of information that is permanently available to the living system is now recognized as "memory." Although many years have passed, and many researchers are deeply involved in the study of learning and memory, still its intricate nature is not completely understood. A review of common terms used in memory research such as, memory, learning, and trial are discussed and redefined in a more restricted form with the intention of reaching a common consensus. The most accepted model of learning is presented in a diagram of a "learning unit," and a unifying concept of a "vector memory engram unit" for learning and storing of memory is also discussed. Finally, implications of the model are considered in the context of diseases that produce memory deficits in order to compare the predictions of the model with the behavioural evidence from patients with lesions in restricted brain zones.
Fil: Alvarez Toro, Edgardo Orozimbo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas; Argentina
Fil: Ratti, Silvia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas; Argentina
Materia
Learning
Memory
Hippocampus
Episodic Memory
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/79164

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spelling About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living SystemsAlvarez Toro, Edgardo OrozimboRatti, Silvia GabrielaLearningMemoryHippocampusEpisodic Memoryhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Learning can be considered a fundamental evolutionary advance to those living systems that acquired this capacity during the early evolution of life. Perception of an environment that has past and present permitted primitive animals to acquire a more complete vision of the surrounding world. The cognitive use of information that is permanently available to the living system is now recognized as "memory." Although many years have passed, and many researchers are deeply involved in the study of learning and memory, still its intricate nature is not completely understood. A review of common terms used in memory research such as, memory, learning, and trial are discussed and redefined in a more restricted form with the intention of reaching a common consensus. The most accepted model of learning is presented in a diagram of a "learning unit," and a unifying concept of a "vector memory engram unit" for learning and storing of memory is also discussed. Finally, implications of the model are considered in the context of diseases that produce memory deficits in order to compare the predictions of the model with the behavioural evidence from patients with lesions in restricted brain zones.Fil: Alvarez Toro, Edgardo Orozimbo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas; ArgentinaFil: Ratti, Silvia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas; ArgentinaAmerican Scientific Publishers2010-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/mswordapplication/pdfhttp://hdl.handle.net/11336/79164Alvarez Toro, Edgardo Orozimbo; Ratti, Silvia Gabriela; About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems; American Scientific Publishers; American Journal of Neuroprotection and Neuroregeneration; 2; 1; 6-2010; 18-291947-29511947-296XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1166/ajnn.2010.1015info:eu-repo/semantics/altIdentifier/url/https://www.ingentaconnect.com/content/asp/ajnn/2010/00000002/00000001/art00003info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T10:49:21Zoai:ri.conicet.gov.ar:11336/79164instacron: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:34982025-09-17 10:49:21.713CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
title About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
spellingShingle About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
Alvarez Toro, Edgardo Orozimbo
Learning
Memory
Hippocampus
Episodic Memory
title_short About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
title_full About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
title_fullStr About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
title_full_unstemmed About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
title_sort About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems
dc.creator.none.fl_str_mv Alvarez Toro, Edgardo Orozimbo
Ratti, Silvia Gabriela
author Alvarez Toro, Edgardo Orozimbo
author_facet Alvarez Toro, Edgardo Orozimbo
Ratti, Silvia Gabriela
author_role author
author2 Ratti, Silvia Gabriela
author2_role author
dc.subject.none.fl_str_mv Learning
Memory
Hippocampus
Episodic Memory
topic Learning
Memory
Hippocampus
Episodic Memory
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Learning can be considered a fundamental evolutionary advance to those living systems that acquired this capacity during the early evolution of life. Perception of an environment that has past and present permitted primitive animals to acquire a more complete vision of the surrounding world. The cognitive use of information that is permanently available to the living system is now recognized as "memory." Although many years have passed, and many researchers are deeply involved in the study of learning and memory, still its intricate nature is not completely understood. A review of common terms used in memory research such as, memory, learning, and trial are discussed and redefined in a more restricted form with the intention of reaching a common consensus. The most accepted model of learning is presented in a diagram of a "learning unit," and a unifying concept of a "vector memory engram unit" for learning and storing of memory is also discussed. Finally, implications of the model are considered in the context of diseases that produce memory deficits in order to compare the predictions of the model with the behavioural evidence from patients with lesions in restricted brain zones.
Fil: Alvarez Toro, Edgardo Orozimbo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas; Argentina
Fil: Ratti, Silvia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas; Argentina
description Learning can be considered a fundamental evolutionary advance to those living systems that acquired this capacity during the early evolution of life. Perception of an environment that has past and present permitted primitive animals to acquire a more complete vision of the surrounding world. The cognitive use of information that is permanently available to the living system is now recognized as "memory." Although many years have passed, and many researchers are deeply involved in the study of learning and memory, still its intricate nature is not completely understood. A review of common terms used in memory research such as, memory, learning, and trial are discussed and redefined in a more restricted form with the intention of reaching a common consensus. The most accepted model of learning is presented in a diagram of a "learning unit," and a unifying concept of a "vector memory engram unit" for learning and storing of memory is also discussed. Finally, implications of the model are considered in the context of diseases that produce memory deficits in order to compare the predictions of the model with the behavioural evidence from patients with lesions in restricted brain zones.
publishDate 2010
dc.date.none.fl_str_mv 2010-06
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/11336/79164
Alvarez Toro, Edgardo Orozimbo; Ratti, Silvia Gabriela; About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems; American Scientific Publishers; American Journal of Neuroprotection and Neuroregeneration; 2; 1; 6-2010; 18-29
1947-2951
1947-296X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79164
identifier_str_mv Alvarez Toro, Edgardo Orozimbo; Ratti, Silvia Gabriela; About Learning, Memory, and Neural Circuits: An Approaching to the Cognitive Processes in Living Systems; American Scientific Publishers; American Journal of Neuroprotection and Neuroregeneration; 2; 1; 6-2010; 18-29
1947-2951
1947-296X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1166/ajnn.2010.1015
info:eu-repo/semantics/altIdentifier/url/https://www.ingentaconnect.com/content/asp/ajnn/2010/00000002/00000001/art00003
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/msword
application/pdf
dc.publisher.none.fl_str_mv American Scientific Publishers
publisher.none.fl_str_mv American Scientific Publishers
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
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