Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Associative memory in networks of spiking neurons
Autore:
Sommer, FT; Wennekers, T;
Indirizzi:
Univ Ulm, Dept Neural Informat Proc, D-89069 Ulm, Germany Univ Ulm Ulm Germany D-89069 Neural Informat Proc, D-89069 Ulm, Germany Max Planck Inst Math Sci, D-04103 Leipzig, Germany Max Planck Inst Math Sci Leipzig Germany D-04103 -04103 Leipzig, Germany
Titolo Testata:
NEURAL NETWORKS
fascicolo: 6-7, volume: 14, anno: 2001,
pagine: 825 - 834
SICI:
0893-6080(200107/09)14:6-7<825:AMINOS>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
NMDA CHANNELS; MODEL; OSCILLATIONS; RETRIEVAL; PATTERNS;
Keywords:
compartment-neuron model; sparse associative memory; long-term memory; gamma oscillations;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Sommer, FT Univ Ulm, Dept Neural Informat Proc, D-89069 Ulm, Germany Univ Ulm Ulm Germany D-89069 ormat Proc, D-89069 Ulm, Germany
Citazione:
F.T. Sommer e T. Wennekers, "Associative memory in networks of spiking neurons", NEURAL NETW, 14(6-7), 2001, pp. 825-834

Abstract

Here, we develop and investigate a computational model of a network of cortical neurons on the base of biophysically well constrained and tested two-compartmental neurons developed by Pinsky and Rinzel [Pinsky, P. F., & Rinzel, J. (1994). Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons. Journal of Computational Neuroscience, 1, 39-60]. To study associative memory, we connect a pool of cells by a structured connectivity matrix. The connection weights are shaped by simple Hebbian coincidencelearning using a set of spatially sparse patterns. We study the neuronal activity processes following an external stimulation of a stored memory. In two series of simulation experiments, we explore the effect of different classes of external input, tonic and flashed stimulation. With tonic stimulation, the addressed memory is an attractor of the network dynamics. The memory is displayed rhythmically, coded by phase-locked bursts or regular spikes. The participating neurons have rhythmic activity in the gamma-frequency range (30-80 Hz). If the input is switched from one memory to another, the network activity can follow this change within one or two gamma cycles. Unlike similar models in the literature, we studied the range of high memory capacity (in the order of 0.1 bit/synapse), comparable to optimally tuned formal associative networks. We explored the robustness of efficient retrieval varying the memory load, the excitation/inhibition parameters, and background activity. A stimulation pulse applied to the identical simulation network can push away ongoing network activity and trigger a phase-locked association event within one gamma period. Unlike as under tonic stimulation, the memories are not attractors. After one association process, the network activity moves to other states. Applying in close succession pulses addressing different memories, one can switch through the space of memory patterns. The readout speed can be increased up to the point where in every gamma cycle another pattern is displayed. With pulsed stimulation, bursts become relevant for coding, their occurrence can be used to discriminate relevant processes from background activity. (C) 2001 Elsevier Science Ltd. All rightsreserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 08/07/20 alle ore 07:38:58