ArticlePLoS computational biology2017
Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice.
Article in PLoS computational biology, 2017. 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.
- Homeostatic bidirectional plasticity in upbound and downbound micromodules in a model of the olivocerebellar loop.PLoS computational biology · 2025Article
- Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs.eLife · 2024Article
- Article
- Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs.bioRxiv : the preprint server for biology · 2023Article
- A Slow Short-Term Depression at Purkinje to Deep Cerebellar Nuclear Neuron Synapses Supports Gain-Control and Linear Encoding over Second-Long Time Windows.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- A general method to generate artificial spike train populations matching recorded neurons.Journal of computational neuroscience · 2020Article
- Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
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Authors and funding
7 authors.
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Abstract
Neural coding through inhibitory projection pathways remains poorly understood. We analyze the transmission properties of the Purkinje cell (PC) to cerebellar nucleus (CN) pathway in a modeling study using a data set recorded in awake mice containing respiratory rate modulation. We find that inhibitory transmission from tonically active PCs can transmit a behavioral rate code with high fidelity. We parameterized the required population code in PC activity and determined that 20% of PC inputs to a full compartmental CN neuron model need to be rate-comodulated for transmission of a rate code. Rate covariance in PC inputs also accounts for the high coefficient of variation in CN spike trains, while the balance between excitation and inhibition determines spike rate and local spike train variability. Overall, our modeling study can fully account for observed spike train properties of cerebellar output in awake mice, and strongly supports rate coding in the cerebellum.
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