ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
Conditional Bistability, a Generic Cellular Mnemonic Mechanism for Robust and Flexible Working Memory Computations.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Neural correlates of fine motor grasping skills: Longitudinal insights into motor cortex activation using fNIRS.Brain and behavior · 2024Trial
- Robust maintenance of both stimulus location and amplitude in a working memory model based on dendritic bistability.bioRxiv : the preprint server for biology · 2026Article
- Article
- Simulations of cortical networks using spatially extended conductance-based neuronal models.The Journal of physiology · 2023Review
- Article
- The role of prefrontal cortex in cognitive control and executive function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.Frontiers in neural circuits · 2021Article
- Clusters of cooperative ion channels enable a membrane-potential-based mechanism for short-term memory.eLife · 2020Article
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Authors and funding
6 authors.
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Abstract
Persistent neural activity, the substrate of working memory, is thought to emerge from synaptic reverberation within recurrent networks. However, reverberation models do not robustly explain the fundamental dynamics of persistent activity, including high-spiking irregularity, large intertrial variability, and state transitions. While cellular bistability may contribute to persistent activity, its rigidity appears incompatible with persistent activity labile characteristics. Here, we unravel in a cellular model a form of spike-mediated conditional bistability that is robust and generic. and provides a rich repertoire of mnemonic computations. Under asynchronous synaptic inputs of the awakened state, conditional bistability generates spiking/bursting episodes, accounting for the irregularity, variability, and state transitions characterizing persistent activity. This mechanism has likely been overlooked because of the subthreshold input it requires, and we predict how to assess it experimentally. Our results suggest a reexamination of the role of intrinsic properties in the collective network dynamics responsible for flexible working memory.
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