ZMBBI Motor Club: Sensory Prediction Errors


Past Event

ZMBBI Motor Club: Sensory Prediction Errors

December 12, 2019
3:30 PM - 5:00 PM
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Speaker: James Heald (Wolpert lab)

Sensory prediction errors play a key role in theories of sensorimotor control. I will give an overview of the two complementary roles of sensory prediction errors; their use in learning a forward model of the of the body and environment, and their use in state and context estimation for online control. I will then present ongoing work that examines how sensory prediction errors can be used to partition control and learning across multiple context-specific motor memories and determine when to develop a new memory rather than modify existing memories.  

McNamee, D., & Wolpert, D. M. (2019). Internal models in biological control. Annual review of control, robotics, and autonomous systems2, 339-364.

Wolpert, D. M., & Flanagan, J. R. (2001). Motor prediction. Current biology11(18), R729-R732.


Speaker: Nathaniel Sawtell

Sensory prediction errors and the related concept of a forward model have an important role in theories of sensory processing and motor control and are well-supported by human behavioral studies. I will discuss examples in which putative neural correlates for sensory prediction errors have been identified along with what is known about the mechanisms for generating such signals.  Recent work in the cerebellum questioning the traditional dichotomy between sensory and reward prediction errors will also be discussed.

Learning to expect the unexpected: rapid updating in primate cerebellum during voluntary self-motion.

Brooks JX, Carriot J, Cullen KE.

Nat Neurosci. 2015 Sep;18(9):1310-7. doi: 10.1038/nn.4077. Epub 2015 Aug 3.


Force field effects on cerebellar Purkinje cell discharge with implications for internal models.

Pasalar S, Roitman AV, Durfee WK, Ebner TJ.

Nat Neurosci. 2006 Nov;9(11):1404-11. Epub 2006 Oct 8.


Mismatch Receptive Fields in Mouse Visual Cortex.

Zmarz P, Keller GB.

Neuron. 2016 Nov 23;92(4):766-772. doi: 10.1016/j.neuron.2016.09.057. Epub 2016 Oct 27.


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

Heffley W, Hull C.

Elife. 2019 Sep 11;8. pii: e46764. doi: 10.7554/eLife.46764.

Contact Information

Alice C. Mosberger