ArticleFrontiers in computational neuroscience2021
A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity.
Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Temporal Interference Stimulation Boosts Working Memory Performance in the Frontoparietal Network.Human brain mapping · 2025Trial
- Level of M1 GABAB predicts micro offline consolidation of motor learning during wakefulness.NPJ science of learning · 2025Article
- The role of IPFrontiers in computational neuroscience · 2025Article
- Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism.Frontiers in neuroinformatics · 2024Article
- Article
- Spike timing-dependent plasticity alters electrosensory neuron synaptic strength in vitro but does not consistently predict changes in sensory tuning in vivo.Journal of neurophysiology · 2023Article
- Neural signature of flexible coding in prefrontal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Authors and funding
2 authors.
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Abstract
Working memory is closely involved in various cognitive activities, but its neural mechanism is still under exploration. The mainstream view has long been that persistent activity is the neural basis of working memory, but recent experiments have observed that activity-silent memory can also be correctly recalled. The underlying mechanism of activity-silent memory is considered to be an alternative scheme that rejects the theory of persistent activity. We propose a working memory model based on spike-timing-dependent plasticity (STDP). Different from models based on spike-rate coding, our model adopts temporal patterns of action potentials to represent information, so it can flexibly encode new memory representation. The model can work in both persistent and silent states, i.e., it is compatible with both of these seemingly conflicting neural mechanisms. We conducted a simulation experiment, and the results are similar to the real experimental results, which suggests that our model is plausible in biology.
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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.