ArticlePloS one2013
Reactivation in working memory: an attractor network model of free recall.
Article in PloS one, 2013. 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.
- Rhythms of human attention and memory: An embedded process perspective.Frontiers in human neuroscience · 2022Review
- Clozapine Reverses Dysfunction of Glutamatergic Neurons Derived From Clozapine-Responsive Schizophrenia Patients.Frontiers in cellular neuroscience · 2022Article
- Free recall scaling laws and short-term memory effects in a latching attractor network.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Probabilistic associative learning suffices for learning the temporal structure of multiple sequences.PloS one · 2019Article
- Representation of Rapid Image Sequences in V4 Networks.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Spike-Based Bayesian-Hebbian Learning of Temporal Sequences.PLoS computational biology · 2016Article
- Working Memory: Maintenance, Updating, and the Realization of Intentions.Cold Spring Harbor perspectives in biology · 2015Review
- Neurocognitive Architecture of Working Memory.Neuron · 2015Review
- Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.PloS one · 2015Article
- Neural Network Model of Memory Retrieval.Frontiers in computational neuroscience · 2015Article
- Reducing the computational footprint for real-time BCPNN learning.Frontiers in neuroscience · 2015Article
- Synaptic and nonsynaptic plasticity approximating probabilistic inference.Frontiers in synaptic neuroscience · 2014Article
- Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics.Frontiers in computational neuroscience · 2014Article
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4 authors.
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Abstract
The dynamic nature of human working memory, the general-purpose system for processing continuous input, while keeping no longer externally available information active in the background, is well captured in immediate free recall of supraspan word-lists. Free recall tasks produce several benchmark memory phenomena, like the U-shaped serial position curve, reflecting enhanced memory for early and late list items. To account for empirical data, including primacy and recency as well as contiguity effects, we propose here a neurobiologically based neural network model that unifies short- and long-term forms of memory and challenges both the standard view of working memory as persistent activity and dual-store accounts of free recall. Rapidly expressed and volatile synaptic plasticity, modulated intrinsic excitability, and spike-frequency adaptation are suggested as key cellular mechanisms underlying working memory encoding, reactivation and recall. Recent findings on the synaptic and molecular mechanisms behind early LTP and on spiking activity during delayed-match-to-sample tasks support this view.
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