Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks

DOI10.1162/neco.2007.19.10.2739zbMath1129.92028arXivq-bio/0604019OpenAlexW2166599947WikidataQ51900196 ScholiaQ51900196MaRDI QIDQ5441320

Joaquín J. Torres, Joaquín Marro, Hilbert J. Kappen, Jesús M. Cortés

Publication date: 11 February 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/q-bio/0604019

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Neural biology (92C20)

Related Items (5)

Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility ⋮ Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity ⋮ Stability Analysis on Sparsely Encoded Associative Memory with Short-Term Synaptic Dynamics ⋮ Effects of short-term plasticity in UP-DOWN cortical dynamics ⋮ Maximum Memory Capacity on Neural Networks with Short-Term Synaptic Depression and Facilitation

Cites Work

• Chaotic hopping between attractors in neural networks
• Mean-field analysis of selective persistent activity in presence of short-term synaptic depression
• Pattern storage and processing in attractor networks with short-time synaptic dynamics
• Associative Memory with Dynamic Synapses
• Neural networks and physical systems with emergent collective computational abilities.
• Effects of Fast Presynaptic Noise in Attractor Neural Networks

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