ArticlePLoS computational biology2019
Stability of working memory in continuous attractor networks under the control of short-term plasticity.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Bias in Visual Short-Term Memory for Motion Induced by Perceptually Suppressed Distractors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Competition and cooperation of assembly sequences in recurrent neural networks.PLoS computational biology · 2025Article
- Directed cell-type recruitment during consolidation of a remote memory.bioRxiv : the preprint server for biology · 2025Article
- The effects of the post-delay epochs on working memory error reduction.PLoS computational biology · 2025Article
- Mixed recurrent connectivity in primate prefrontal cortex.PLoS computational biology · 2025Article
- Population coding and self-organized ring attractors in recurrent neural networks for continuous variable integration.Frontiers in network physiology · 2025Article
- Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations.Frontiers in computational neuroscience · 2025Article
- The role of oscillations in grid cells' toroidal topology.PLoS computational biology · 2025Article
- Redefining Roles: A Paradigm Shift in Tryptophan-Kynurenine Metabolism for Innovative Clinical Applications.International journal of molecular sciences · 2024Review
- Sensory-memory interactions via modular structure explain errors in visual working memory.eLife · 2024Article
- Article
- Cholinergic Neuromodulation of Prefrontal Attractor Dynamics Controls Performance in Spatial Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Presynaptic Rac1 in the hippocampus selectively regulates working memory.bioRxiv : the preprint server for biology · 2024Article
- Cholinergic neuromodulation of prefrontal attractor dynamics controls performance in spatial working memory.bioRxiv : the preprint server for biology · 2024Article
- Sources of richness and ineffability for phenomenally conscious states.Neuroscience of consciousness · 2024Article
- MULTISCALE MOTION AND DEFORMATION OF BUMPS IN STOCHASTIC NEURAL FIELDS WITH DYNAMIC CONNECTIVITY.Multiscale modeling & simulation : a SIAM interdisciplinary journal · 2024Article
- The synaptic correlates of serial position effects in sequential working memory.Frontiers in computational neuroscience · 2024Article
- Learning efficient representations of environmental priors in working memory.PLoS computational biology · 2023Article
- Controlling brain dynamics: Landscape and transition path for working memory.PLoS computational biology · 2023Article
- Intrinsic neural diversity quenches the dynamic volatility of neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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3 authors.
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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 positions as a combination of two processes: (i) diffusion due to variability caused by spikes; and (ii) drift due to random connectivity and neuronal heterogeneity. We find that facilitation decreases both diffusion and directed drifts, while short-term depression tends to increase both. Using mutual information, we evaluate the combined impact of short-term facilitation and depression on the ability of networks to retain stable working memory. Finally, our theory predicts the sensitivity of continuous working memory to distractor inputs and provides conditions for stability of memory.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.