ArticlePloS one2017
Synaptic augmentation in a cortical circuit model reproduces serial dependence in visual working memory.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Redundant prefrontal hemispheres adapt storage strategy to working memory demands.Nature communications · 2026Article
- Estimation bias and serial dependence in speed perception.BMC psychology · 2024Article
- Continuity fields enhance visual perception through positive serial dependence.Nature reviews. Psychology · 2024Article
- Article
- Stimulation along the anterior-posterior axis of lateral frontal cortex reduces visual serial dependence.Journal of vision · 2023Article
- Feature-specific reactivations of past information shift current neural encoding thereby mediating serial bias behaviors.PLoS biology · 2023Article
- Attractive serial dependence overcomes repulsive neuronal adaptation.PLoS biology · 2022Article
- Disrupting Short-Term Memory Maintenance in Premotor Cortex Affects Serial Dependence in Visuomotor Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Pinging the brain with visual impulses reveals electrically active, not activity-silent, working memories.PLoS biology · 2021Article
- Working Memory: From Neural Activity to the Sentient Mind.Comprehensive Physiology · 2021Article
- Distraction in Visual Working Memory: Resistance is Not Futile.Trends in cognitive sciences · 2021Review
- Reduced serial dependence suggests deficits in synaptic potentiation in anti-NMDAR encephalitis and schizophrenia.Nature communications · 2020Article
- Interplay between persistent activity and activity-silent dynamics in the prefrontal cortex underlies serial biases in working memory.Nature neuroscience · 2020Article
- Build-up of serial dependence in color working memory.Scientific reports · 2020Article
- Perceptual Decision-Making: Biases in Post-Error Reaction Times Explained by Attractor Network Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Recent work has established that visual working memory is subject to serial dependence: current information in memory blends with that from the recent past as a function of their similarity. This tuned temporal smoothing likely promotes the stability of memory in the face of noise and occlusion. Serial dependence accumulates over several seconds in memory and deteriorates with increased separation between trials. While this phenomenon has been extensively characterized in behavior, its neural mechanism is unknown. In the present study, we investigate the circuit-level origins of serial dependence in a biophysical model of cortex. We explore two distinct kinds of mechanisms: stable persistent activity during the memory delay period and dynamic "activity-silent" synaptic plasticity. We find that networks endowed with both strong reverberation to support persistent activity and dynamic synapses can closely reproduce behavioral serial dependence. Specifically, elevated activity drives synaptic augmentation, which biases activity on the subsequent trial, giving rise to a spatiotemporally tuned shift in the population response. Our hybrid neural model is a theoretical advance beyond abstract mathematical characterizations, offers testable hypotheses for physiological research, and demonstrates the power of biological insights to provide a quantitative explanation of human behavior.
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