ArticleFrontiers in computational neuroscience2015
A Model of In vitro Plasticity at the Parallel Fiber-Molecular Layer Interneuron Synapses.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Influence of various temporal recoding on pavlovian eyeblink conditioning in the cerebellum.Cognitive neurodynamics · 2021Article
- Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum.Scientific reports · 2021Article
- Molecular layer interneurons in the cerebellum encode for valence in associative learning.Nature communications · 2020Article
- Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.Frontiers in cellular neuroscience · 2016Review
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3 authors.
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Abstract
Theoretical and computational models of the cerebellum typically focus on the role of parallel fiber (PF)-Purkinje cell (PKJ) synapses for learned behavior, but few emphasize the role of the molecular layer interneurons (MLIs)-the stellate and basket cells. A number of recent experimental results suggest the role of MLIs is more important than previous models put forth. We investigate learning at PF-MLI synapses and propose a mathematical model to describe plasticity at this synapse. We perform computer simulations with this form of learning using a spiking neuron model of the MLI and show that it reproduces six in vitro experimental results in addition to simulating four novel protocols. Further, we show how this plasticity model can predict the results of other experimental protocols that are not simulated. Finally, we hypothesize what the biological mechanisms are for changes in synaptic efficacy that embody the phenomenological model proposed here.
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