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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/79164
Ver los metadatos del registro completo
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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 |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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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 |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.001348 |