scholarly journals Climbing Fibers Provide Graded Error Signals in Cerebellar Learning

2019 ◽  
Vol 13 ◽  
Author(s):  
Yunliang Zang ◽  
Erik De Schutter
Keyword(s):  
Climbing Fibers ◽  
Cerebellar Learning

scholarly journals Number of Spikes in Climbing Fibers Determines the Direction of Cerebellar Learning

2013 ◽  
Vol 33 (33) ◽  
pp. 13436-13440 ◽  
Author(s):  
A. Rasmussen ◽  
D.-A. Jirenhed ◽  
R. Zucca ◽  
F. Johansson ◽  
P. Svensson ◽  
...  
Keyword(s):  
Climbing Fibers ◽  
Cerebellar Learning

scholarly journals Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
William Heffley ◽  
Court Hull
Keyword(s):  
Classical Conditioning ◽  
Learning Rule ◽  
Reward Processing ◽  
Climbing Fibers ◽  
Motor Behaviors ◽  
Reward Prediction ◽  
Before And After ◽  
Classical Models ◽  
Cerebellar Learning ◽  
Climbing Fiber Responses

Classical models of cerebellar learning posit that climbing fibers operate according to a supervised learning rule to instruct changes in motor output by signaling the occurrence of movement errors. However, cerebellar output is also associated with non-motor behaviors, and recently with modulating reward association pathways in the VTA. To test how the cerebellum processes reward related signals in the same type of classical conditioning behavior typically studied to evaluate reward processing in the VTA and striatum, we have used calcium imaging to visualize instructional signals carried by climbing fibers across the lateral cerebellum in mice before and after learning. We find distinct climbing fiber responses in three lateral cerebellar regions that can each signal reward prediction. These instructional signals are well suited to guide cerebellar learning based on reward expectation and enable a cerebellar contribution to reward driven behaviors, suggesting a broad role for the lateral cerebellum in reward-based learning.

scholarly journals Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum

2019 ◽  
Author(s):  
William Heffley ◽  
Court Hull
Keyword(s):  
Classical Conditioning ◽  
Learning Rule ◽  
Reward Processing ◽  
Climbing Fibers ◽  
Prediction Errors ◽  
Reward Prediction ◽  
Before And After ◽  
Classical Models ◽  
Cerebellar Learning ◽  
Climbing Fiber Responses

AbstractClassical models of cerebellar learning posit that climbing fibers operate according to a supervised learning rule to instruct changes in motor output by signaling the occurrence of movement errors. However, cerebellar output is also associated with non-motor behaviors, and recently with modulating reward association pathways in the VTA. To test how the cerebellum processes reward related signals in the same type of classical conditioning behavior typically studied to evaluate reward processing in the VTA and striatum, we have used calcium imaging to visualize instructional signals carried by climbing fibers across the lateral cerebellum before and after learning. We find distinct climbing fiber responses in three lateral cerebellar regions that can each signal reward prediction, but not reward prediction errors per se. These instructional signals are well suited to guide cerebellar learning based on reward expectation and enable a cerebellar contribution to reward driven behaviors.

Origin of error signals during cerebellar learning of motor sequences

1997 ◽  
Vol 20 (2) ◽  
pp. 249-250 ◽  
Author(s):  
Michel Dufossé ◽  
Arthur Kaladjian ◽  
Philippe Grandguillaume
Keyword(s):  
Prefrontal Cortex ◽  
Purkinje Cells ◽  
Pyramidal Cells ◽  
Climbing Fibers ◽  
Lateral Part ◽  
Motor Sequence ◽  
Attentional Load ◽  
Cerebellar Learning

Prefrontal cerebral areas project to Purkinje cells, located in the most lateral part of the cerebellum, via mossy and climbing fibers. The latter olivary error signals reflect the attentional load of the prefrontal cortex. At the cerebral level, LTP-LTD plasticity allows these Purkinje cells to adaptively reinforce the active pyramidal cells involved in the motor sequence.

Adaptive coupling of inferior olive neurons in cerebellar learning

2013 ◽  
Vol 47 ◽  
pp. 42-50 ◽  
Author(s):  
Isao T. Tokuda ◽  
Huu Hoang ◽  
Nicolas Schweighofer ◽  
Mitsuo Kawato
Keyword(s):  
Inferior Olive ◽  
Inferior Olive Neurons ◽  
Adaptive Coupling ◽  
Cerebellar Learning
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