A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex
Name
A_precise_and_adaptive_neural_mechanism_for_predic.pdf
Description
Submitted version
Size
7.19 MB
Format
Unknown
Checksum (MD5)
d12bbd77eeaf1ee16f0b8b498f8d085e
Author(s)
Meirhaeghe, Nicolas
Sohn, Hansem
Jazayeri, Mehrdad
Date Issued
September 2021
Journal
Neuron
Publisher
Elsevier BV
Citation
Meirhaeghe, Nicolas, Sohn, Hansem and Jazayeri, Mehrdad. 2021. "A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex." Neuron, 109 (18).
Version
Original manuscript
Abstract
The theory of predictive processing posits that the brain computes expectations to process information predictively. Empirical evidence in support of this theory, however, is scarce and largely limited to sensory areas. Here, we report a precise and adaptive mechanism in the frontal cortex of non-human primates consistent with predictive processing of temporal events. We found that the speed of neural dynamics is precisely adjusted according to the average time of an expected stimulus. This speed adjustment, in turn, enables neurons to encode stimuli in terms of deviations from expectation. This lawful relationship was evident across multiple experiments and held true during learning: when temporal statistics underwent covert changes, neural responses underwent predictable changes that reflected the new mean. Together, these results highlight a precise mathematical relationship between temporal statistics in the environment and neural activity in the frontal cortex that may serve as a mechanism for predictive temporal processing.
MIT Department
McGovern Institute for Brain Research at MIT
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.neuron.2021.08.025
