dc.contributor.author | Sánchez-Montañés Isla, Manuel Antonio | |
dc.contributor.author | Verschure, Paul F. M. J. | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2015-05-21T16:25:55Z | |
dc.date.available | 2015-05-21T16:25:55Z | |
dc.date.issued | 2000-03-01 | |
dc.identifier.citation | Neural Computation 12.3 (2000): 519–529 | en_US |
dc.identifier.issn | 0899-7667 (print) | en_US |
dc.identifier.issn | 1530-888X (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/666320 | |
dc.description.abstract | Mechanisms influencing learning in neural networks are usually investigated
on either a local or a global scale. The former relates to synaptic
processes, the latter to unspecific modulatory systems. Here we study the
interaction of a local learning rule that evaluates coincidences of pre- and
postsynaptic action potentials and a global modulatory mechanism, such
as the action of the basal forebrain onto cortical neurons. The simulations
demonstrate that the interaction of these mechanisms leads to a learning
rule supporting fast learning rates, stability, and flexibility. Furthermore,
the simulations generate two experimentally testable predictions on the
dependence of backpropagating action potential on basal forebrain activity
and the relative timing of the activity of inhibitory and excitatory
neurons in the neocortex. | en_US |
dc.description.sponsorship | We are grateful to Konrad Körding and Mike Merzenich for valuable discussions
of the previous work on the learning rule and the experimental data
and Daniel Kiper for comments on a previous version of the manuscript.
We are happy to acknowledge the support of SPP Neuroinformatics (grants
5002–44888/2&3 to P. F. M. J. V.), SNF (grant 31-51059.97, awarded to P. K.),
and an FPU grant from MEC (M. A. S.-M., Spain). | en_US |
dc.format.extent | 13 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | MIT Press | en_US |
dc.relation.ispartof | Neural Computation | en_US |
dc.rights | © 2000 Massachusetts Institute of Technology | en_US |
dc.title | Local and global gating of synaptic plasticity | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://www.mitpressjournals.org/doi/abs/10.1162/089976600300015682 | |
dc.identifier.doi | 10.1162/089976600300015682 | |
dc.identifier.publicationfirstpage | 519 | |
dc.identifier.publicationissue | 3 | |
dc.identifier.publicationlastpage | 529 | |
dc.identifier.publicationvolume | 12 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.contributor.group | Neurocomputación Biológica (ING EPS-005) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.authorUAM | Sánchez-Montañés Isla, Manuel Antonio (258772) | |
dc.facultadUAM | Escuela Politécnica Superior | |