Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice
By Shogo Ohmae, Javier F. Medina. 2015
237 citations recorded by the source corpus.
Climbing fiber inputs to Purkinje cells are thought to be involved in generating the instructive signals that drive cerebellar learning. To investigate how these instructive signals are encoded, we recorded the activity of individual climbing fibers during cerebellum-dependent eyeblink conditioning in mice. We found that climbing fibers signaled both the unexpected delivery and the unexpected omission of the periocular airpuff that served as the instructive signal for eyeblink conditioning. In addition, we observed that climbing fibers activated by periocular airpuffs also responded to stimuli from other sensory modalities if those stimuli were novel or if they predicted that the periocular airpuff was about to be presented. This pattern of climbing fiber activity is markedly similar to the responses of dopamine neurons during reinforcement learning, which have been shown to encode a particular type of instructive signal known as a temporal difference prediction error.
Subfields: Cellular and Molecular Neuroscience, Neurology, Ophthalmology
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Citations in the corpus
- Re-evaluating circuit mechanisms underlying pattern separation (2019, positive): “The cerebellum may simply need to encode a large amount of information in a short period of time, due to its constant monitoring of sensory, motor, and proprioceptive information for estimation of errors in movements (Ohmae and Medina, 2015; Herzfeld et al., 2018) and in sensory prediction (Wolpert ”
- Computational Principles of Supervised Learning in the Cerebellum (2018, unknown): “…recent work indicates that the way the inferior olive computes dynamic error signals may be more consistent with the method of temporal differences (Ohmae & Medina 2015), whereby an error signal is generated whenever there is a difference between the response of the network at the current time and…”