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The Rules of Cerebellar Learning: Around the Ito Hypothesis
- Source :
- Neuroscience
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- As a tribute to Masao Ito, we propose a model of cerebellar learning that incorporates and extends his original model. We suggest four principles that align well with conclusions from multiple cerebellar learning systems. (1) Climbing fiber inputs to the cerebellum drive early, fast, poorly-retained learning in the parallel fiber to Purkinje cell synapse. (2) Learned Purkinje cell outputs drive late, slow, well-retained learning in non-Purkinje cell inputs to neurons in the cerebellar nucleus, transferring learning from the cortex to the nucleus. (3) Recurrent feedback from Purkinje cells to the inferior olive, through interneurons in the cerebellar nucleus, limits the magnitude of fast, early learning in the cerebellar cortex. (4) Functionally different inputs are subjected to plasticity in the cerebellar cortex versus the cerebellar nucleus. A computational neural circuit model that is based on these principles mimics a large amount of neural and behavioral data obtained from the smooth pursuit eye movements of monkeys.
- Subjects :
- 0301 basic medicine
Cerebellum
Purkinje cell
Parallel fiber
Olivary Nucleus
Biology
Article
Purkinje Cells
03 medical and health sciences
0302 clinical medicine
Cortex (anatomy)
medicine
Animals
General Neuroscience
Climbing fiber
Pursuit, Smooth
030104 developmental biology
medicine.anatomical_structure
Cerebellar Nuclei
nervous system
Cerebellar cortex
Motor learning
Nucleus
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 03064522
- Volume :
- 462
- Database :
- OpenAIRE
- Journal :
- Neuroscience
- Accession number :
- edsair.doi.dedup.....140bac3bb7107c51db926434f52e97a4