Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/63146
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Synapse-specific stabilization of plasticity processes: The synaptic tagging and capture hypothesis revisited 10 years later

AutorBarco, Ángel CSIC ORCID ; López de Armentia, Mikel CSIC; Alarcón, Juan M.
Fecha de publicación2008
EditorElsevier
CitaciónNeuroscience and Biobehavioral Reviews 32(4): 831-851 (2008)
ResumenA decade ago, the synaptic tagging hypothesis was proposed to explain how newly synthesized plasticity products can be specifically targeted to active synapses. A growing number of studies have validated the seminal findings that gave rise to this model, as well as contributed to unveil and expand the range of mechanisms underlying late-associativity and neuronal computation. Here, we will review what it was learnt during this past decade regarding the cellular and molecular mechanisms underlying synaptic tagging and synaptic capture. The accumulated experimental evidence has widened the theoretical framework set by the synaptic tagging and capture (STC) model and introduced concepts that were originally considered part of alternative models for explaining synapse-specific long-term potentiation (LTP). As a result, we believe that the STC model, now improved and expanded with these new ideas and concepts, still represents the most compelling hypothesis to explain late-associativity in synapse-specific plasticity processes. We will also discuss the impact of this model in our view of the integrative capability of neurons and associative learning. © 2008 Elsevier Ltd. All rights reserved.
URIhttp://hdl.handle.net/10261/63146
DOI10.1016/j.neubiorev.2008.01.002
Identificadoresdoi: 10.1016/j.neubiorev.2008.01.002
issn: 0149-7634
Aparece en las colecciones: (IN) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
synaptic capture review.pdf687,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

60
checked on 20-abr-2024

WEB OF SCIENCETM
Citations

56
checked on 19-feb-2024

Page view(s)

377
checked on 23-abr-2024

Download(s)

512
checked on 23-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.