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Titolo:
Formation of temporal-feature maps by axonal propagation of synaptic learning
Autore:
Kempter, R; Leibold, C; Wagner, H; van Hemmen, JL;
Indirizzi:
Univ Calif San Francisco, Keck Ctr Integrat Neurosci, San Francisco, CA 94143 USA Univ Calif San Francisco San Francisco CA USA 94143 ancisco, CA 94143 USA Tech Univ Munich, Dept Phys, D-85747 Garching, Germany Tech Univ Munich Garching Germany D-85747 hys, D-85747 Garching, Germany Rhein Westfal TH Aachen, Inst Biol 2, D-52074 Aachen, Germany Rhein Westfal TH Aachen Aachen Germany D-52074 , D-52074 Aachen, Germany
Titolo Testata:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
fascicolo: 7, volume: 98, anno: 2001,
pagine: 4166 - 4171
SICI:
0027-8424(20010327)98:7<4166:FOTMBA>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
INTERAURAL TIME DIFFERENCES; MEDIAL SUPERIOR OLIVE; ANTEROVENTRAL COCHLEAR NUCLEUS; HIPPOCAMPAL SLICE CULTURES; BRAIN-STEM; COINCIDENCE DETECTION; AUDITORY-CORTEX; NEURAL NETWORKS; PYRAMIDAL CELLS; BARN OWL;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
53
Recensione:
Indirizzi per estratti:
Indirizzo: Kempter, R Univ Calif San Francisco, Keck Ctr Integrat Neurosci, San Francisco, CA 94143 USA Univ Calif San Francisco San Francisco CA USA 94143 94143 USA
Citazione:
R. Kempter et al., "Formation of temporal-feature maps by axonal propagation of synaptic learning", P NAS US, 98(7), 2001, pp. 4166-4171

Abstract

Computational maps are of central importance to a neuronal representation of the outside world. In a map, neighboring neurons respond to similar sensory features. A well studied example is the computational map of interauraltime differences (ITDs), which is essential to sound localization in a variety of species and allows resolution of ITDs of the order of 10 mus Nevertheless, it is unclear how such an orderly representation of temporal features arises. We address this problem by modeling the ontogenetic development of an ITD map in the laminar nucleus of the barn owl, We show how the owl'sITD map can emerge from a combined action of homosynaptic spike-based Hebbian learning and its propagation along the presynaptic axon, In spike-basedHebbian learning, synaptic strengths are modified according to the timing of pre- and postsynaptic action potentials. In unspecific axonal learning, a synapse's modification gives rise to a factor that propagates along the presynaptic axon and affects the properties of synapses at neighboring neurons. Our results indicate that both Hebbian learning and its presynaptic propagation are necessary for map formation in the laminar nucleus, but the latter can be orders of magnitude weaker than the former. We argue that the algorithm is important for the formation of computational maps, when, in particular, time plays a key role.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 11/07/20 alle ore 20:26:40