Abstract:
:Long-term depression at parallel fiber-Purkinje cell synapses plays a principal role in learning in the cerebellum, which acts as a supervised learning machine. Recent experiments demonstrate various forms of synaptic plasticity at different sites within the cerebellum. In this article, we take into consideration synaptic plasticity at parallel fiber-molecular layer interneuron synapses as well as at parallel fiber-Purkinje cell synapses, and propose that the cerebellar cortex performs reinforcement learning, another form of learning that is more capable than supervised learning. We posit that through the use of reinforcement learning, the need for explicit teacher signals for learning in the cerebellum is eliminated; instead, learning can occur via responses from evaluative feedback. We demonstrate the learning capacity of cerebellar reinforcement learning using simple computer simulations of delay eyeblink conditioning and the cart-pole balancing task.
journal_name
Neurosci Resjournal_title
Neuroscience researchauthors
Yamazaki T,Lennon Wdoi
10.1016/j.neures.2019.03.001subject
Has Abstractpub_date
2019-11-01 00:00:00pages
1-8eissn
0168-0102issn
1872-8111pii
S0168-0102(18)30509-1journal_volume
148pub_type
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