ArticleScientific reports2016
Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding.Scientific reports · 2025Article
- Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.PLoS computational biology · 2025Article
- Impaired cerebellar plasticity hypersensitizes sensory reflexes in SCN2A-associated ASD.Neuron · 2024Article
- Purkinje cell models: past, present and future.Frontiers in computational neuroscience · 2024Review
- Impaired cerebellar plasticity hypersensitizes sensory reflexes inbioRxiv : the preprint server for biology · 2023Article
- cAMP-EPAC-PKCε-RIM1α signaling regulates presynaptic long-term potentiation and motor learning.eLife · 2023Article
- Bidirectional learning in upbound and downbound microzones of the cerebellum.Nature reviews. Neuroscience · 2021Review
- Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation.PLoS computational biology · 2019Article
- The Concept of Transmission Coefficient Among Different Cerebellar Layers: A Computational Tool for Analyzing Motor Learning.Frontiers in neural circuits · 2019Article
- Mechanisms underlying vestibulo-cerebellar motor learning in mice depend on movement direction.The Journal of physiology · 2017Article
- Temporal integration and 1/Journal of neurophysiology · 2017Article
- Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise.Scientific reports · 2017Article
- Impact of NMDA Receptor Overexpression on Cerebellar Purkinje Cell Activity and Motor Learning.eNeuroArticle
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Translating neuronal activity to measurable behavioral changes has been a long-standing goal of systems neuroscience. Recently, we have developed a model of phase-reversal learning of the vestibulo-ocular reflex, a well-established, cerebellar-dependent task. The model, comprising both the cerebellar cortex and vestibular nuclei, reproduces behavioral data and accounts for the changes in neural activity during learning in wild type mice. Here, we used our model to predict Purkinje cell spiking as well as behavior before and after learning of five different lines of mutant mice with distinct cell-specific alterations of the cerebellar cortical circuitry. We tested these predictions by obtaining electrophysiological data depicting changes in neuronal spiking. We show that our data is largely consistent with the model predictions for simple spike modulation of Purkinje cells and concomitant behavioral learning in four of the mutants. In addition, our model accurately predicts a shift in simple spike activity in a mutant mouse with a brainstem specific mutation. This combination of electrophysiological and computational techniques opens a possibility of predicting behavioral impairments from neural activity.
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