Stability of working memory in continuous attractor networks under the control of short-term plasticity.

ABSTRACT: Continuous attractor models of working-memory store continuous-valued information in continuous state-spaces, but are sensitive to noise processes that degrade memory retention. Short-term synaptic plasticity of recurrent synapses has previously been shown to affect continuous attractor systems: short-term facilitation can stabilize memory retention, while short-term depression possibly increases continuous attractor volatility. Here, we present a comprehensive description of the combined effect of both short-term facilitation and depression on noise-induced memory degradation in one-dimensional continuous attractor models. Our theoretical description, applicable to rate models as well as spiking networks close to a stationary state, accurately describes the slow dynamics of stored memory

SUBMITTER: Seeholzer A 

PROVIDER: S-EPMC6493776 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature