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Graded error signals in eyeblink conditioning

Rasmussen, Anders LU (2019) In Neurobiology of Learning and Memory
Abstract

Minimizing errors is an important aspect of learning. However, it is not enough merely to record if an error occurred. For efficient learning, information about the magnitude of errors is critical. Did my tennis swing completely miss the target or did I hit the ball, but not quite in the sweet spot? How can neurons – which have traditionally been thought of as binary units – signal the magnitude of an error? Here I review evidence that eyeblink conditioning – a basic form of motor learning – depends on graded signals from the inferior olive which guides plasticity in the cerebellum and ultimately tunes behavior. Specifically, evidence suggests that: (1)Error signals are conveyed to the cerebellum via the inferior olive; (2)Signals from... (More)

Minimizing errors is an important aspect of learning. However, it is not enough merely to record if an error occurred. For efficient learning, information about the magnitude of errors is critical. Did my tennis swing completely miss the target or did I hit the ball, but not quite in the sweet spot? How can neurons – which have traditionally been thought of as binary units – signal the magnitude of an error? Here I review evidence that eyeblink conditioning – a basic form of motor learning – depends on graded signals from the inferior olive which guides plasticity in the cerebellum and ultimately tunes behavior. Specifically, evidence suggests that: (1)Error signals are conveyed to the cerebellum via the inferior olive; (2)Signals from the inferior olive are graded; (3)The strength of the olivary signal affects learning; (4)Cerebellar feedback influences the strength of the olivary signal. I end the review by exploring how graded error signals might explain some behavioral learning phenomena.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Cerebellum, Climbing fibers, Error signals, Eyeblink conditioning, Inferior olive, Learning, Nucleo-Olivary pathway, Plasticity, Rescorla-Wagner
in
Neurobiology of Learning and Memory
publisher
Elsevier
external identifiers
  • scopus:85064743227
ISSN
1074-7427
DOI
10.1016/j.nlm.2019.04.011
language
English
LU publication?
yes
id
739260ee-6b38-44fd-ac09-c4ca1f6884f6
date added to LUP
2019-05-04 17:24:04
date last changed
2019-05-28 03:57:34
@article{739260ee-6b38-44fd-ac09-c4ca1f6884f6,
  abstract     = {<p>Minimizing errors is an important aspect of learning. However, it is not enough merely to record if an error occurred. For efficient learning, information about the magnitude of errors is critical. Did my tennis swing completely miss the target or did I hit the ball, but not quite in the sweet spot? How can neurons – which have traditionally been thought of as binary units – signal the magnitude of an error? Here I review evidence that eyeblink conditioning – a basic form of motor learning – depends on graded signals from the inferior olive which guides plasticity in the cerebellum and ultimately tunes behavior. Specifically, evidence suggests that: (1)Error signals are conveyed to the cerebellum via the inferior olive; (2)Signals from the inferior olive are graded; (3)The strength of the olivary signal affects learning; (4)Cerebellar feedback influences the strength of the olivary signal. I end the review by exploring how graded error signals might explain some behavioral learning phenomena.</p>},
  author       = {Rasmussen, Anders},
  issn         = {1074-7427},
  keyword      = {Cerebellum,Climbing fibers,Error signals,Eyeblink conditioning,Inferior olive,Learning,Nucleo-Olivary pathway,Plasticity,Rescorla-Wagner},
  language     = {eng},
  month        = {04},
  publisher    = {Elsevier},
  series       = {Neurobiology of Learning and Memory},
  title        = {Graded error signals in eyeblink conditioning},
  url          = {http://dx.doi.org/10.1016/j.nlm.2019.04.011},
  year         = {2019},
}