ReviewFrontiers in neural circuits2020
Plasticity of Persistent Activity and Its Constraints.
Review in Frontiers in neural circuits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Protocol for analyzing slow cortical dynamics in mouse neuronal recordings.STAR protocols · 2026Article
- Functional role of cell classes in monkey prefrontal cortex after learning a working memory task.Communications biology · 2025Article
- Exploring feasibility of fNIRS to assess delayed inhibition effect of prefrontal cortex for acute stress by acupuncture on GV20: a pilot study.Frontiers in human neuroscience · 2024Article
- Static and dynamic coding in distinct cell types during associative learning in the prefrontal cortex.Nature communications · 2023Article
- Common Mechanisms of Learning in Motor and Cognitive Systems.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Review
- Low-dimensional encoding of decisions in parietal cortex reflects long-term training history.Nature communications · 2023Article
- Alterations of neural activity in the prefrontal cortex associated with deficits in working memory performance.Frontiers in behavioral neuroscience · 2023Review
- Article
- Strong Gamma Frequency Oscillations in the Adolescent Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Prefrontal cortical plasticity during learning of cognitive tasks.Nature communications · 2022Article
- Working Memory: From Neural Activity to the Sentient Mind.Comprehensive Physiology · 2021Article
- Drifts in Prefrontal and Parietal Neuronal Activity Influence Working Memory Judgments.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Article
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4 authors.
Funding
Abstract
Stimulus information is maintained in working memory by action potentials that persist after the stimulus is no longer physically present. The prefrontal cortex is a critical brain area that maintains such persistent activity due to an intrinsic network with unique synaptic connectivity, NMDA receptors, and interneuron types. Persistent activity can be highly plastic depending on task demands but it also appears in naïve subjects, not trained or required to perform a task at all. Here, we review what aspects of persistent activity remain constant and what factors can modify it, focusing primarily on neurophysiological results from non-human primate studies. Changes in persistent activity are constrained by anatomical location, with more ventral and more anterior prefrontal areas exhibiting the greatest capacity for plasticity, as opposed to posterior and dorsal areas, which change relatively little with training. Learning to perform a cognitive task for the first time, further practicing the task, and switching between learned tasks can modify persistent activity. The ability of the prefrontal cortex to generate persistent activity also depends on age, with changes noted between adolescence, adulthood, and old age. Mean firing rates, variability and correlation of persistent discharges, but also time-varying firing rate dynamics are altered by these factors. Plastic changes in the strength of intrinsic network connections can be revealed by the analysis of synchronous spiking between neurons. These results are essential for understanding how the prefrontal cortex mediates working memory and intelligent behavior.
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