Associative Memory with Dynamic Synapses

2002/12/01 by Lovorka Pantic, Joaquı́n J. Torres, Joaquín J. Torres +3 · 4 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural Networks and Applications #Neural dynamics and brain function

paper · doi:10.1162/089976602760805331

openalex publication_date 2002/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

We have examined a role of dynamic synapses in the stochastic Hopfield-like network behavior. Our results demonstrate an appearance of a novel phase characterized by quick transitions from one memory state to another. The network is able to retrieve memorized patterns corresponding to classical ferromagnetic states but switches between memorized patterns with an intermittent type of behavior. This phenomenon might reflect the flexibility of real neural systems and their readiness to receive and respond to novel and changing external stimuli.

Citations

• Neural Networks with Dynamic Synapses

Cited by

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• Maximum Memory Capacity on Neural Networks with Short-Term Synaptic Depression and Facilitation
• Competition between synaptic depression and facilitation in attractor neural networks

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