ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014
Balanced cortical microcircuitry for spatial working memory based on corrective feedback control.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Neural circuit models for evidence accumulation through choice-selective sequences.Nature communications · 2026Article
- Robust maintenance of both stimulus location and amplitude in a working memory model based on dendritic bistability.bioRxiv : the preprint server for biology · 2026Article
- Maintaining and updating accurate internal representations of continuous variables with a handful of neurons.Nature neuroscience · 2024Article
- An oscillatory mechanism for multi-level storage in short-term memory.Communications biology · 2023Article
- New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics.Frontiers in computational neuroscience · 2023Article
- Unsupervised learning for robust working memory.PLoS computational biology · 2022Article
- A Circuit Model for Working Memory Based on Hybrid Positive and Negative-Derivative Feedback Mechanism.Brain sciences · 2022Article
- Functional Implications of Dale's Law in Balanced Neuronal Network Dynamics and Decision Making.Frontiers in neuroscience · 2022Article
- Trial-to-Trial Variability of Spiking Delay Activity in Prefrontal Cortex Constrains Burst-Coding Models of Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Uncertainty is maintained and used in working memory.Journal of vision · 2021Article
- Increased repulsion of working memory representations in schizophrenia.Journal of abnormal psychology · 2020Article
- Poisson balanced spiking networks.PLoS computational biology · 2020Article
- Understanding the computation of time using neural network models.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection.Frontiers in computational neuroscience · 2020Article
- Article
- Stability of working memory in continuous attractor networks under the control of short-term plasticity.PLoS computational biology · 2019Article
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- Competing inhibition-stabilized networks in sensory and memory processing.Conference record. Asilomar Conference on Signals, Systems & Computers · 2018Article
- Synaptic efficacy shapes resource limitations in working memory.Journal of computational neuroscience · 2018Article
- Imbalanced amplification: A mechanism of amplification and suppression from local imbalance of excitation and inhibition in cortical circuits.PLoS computational biology · 2018Article
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2 authors.
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Abstract
A hallmark of working memory is the ability to maintain graded representations of both the spatial location and amplitude of a memorized stimulus. Previous work has identified a neural correlate of spatial working memory in the persistent maintenance of spatially specific patterns of neural activity. How such activity is maintained by neocortical circuits remains unknown. Traditional models of working memory maintain analog representations of either the spatial location or the amplitude of a stimulus, but not both. Furthermore, although most previous models require local excitation and lateral inhibition to maintain spatially localized persistent activity stably, the substrate for lateral inhibitory feedback pathways is unclear. Here, we suggest an alternative model for spatial working memory that is capable of maintaining analog representations of both the spatial location and amplitude of a stimulus, and that does not rely on long-range feedback inhibition. The model consists of a functionally columnar network of recurrently connected excitatory and inhibitory neural populations. When excitation and inhibition are balanced in strength but offset in time, drifts in activity trigger spatially specific negative feedback that corrects memory decay. The resulting networks can temporally integrate inputs at any spatial location, are robust against many commonly considered perturbations in network parameters, and, when implemented in a spiking model, generate irregular neural firing characteristic of that observed experimentally during persistent activity. This work suggests balanced excitatory-inhibitory memory circuits implementing corrective negative feedback as a substrate for spatial working 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.