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bioRxiv · 10.1101/2021.10.26.466004

Sensory prediction errors increase coding efficiency in mouse visual cortex through gain amplification

Tang, M. F.·Kheradpezhouh, E.·Lee, C. C.·Dickinson, J. E.·Mattingley, J. B.·Arabzadeh, E.
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Abstract

The response of cortical neurons to sensory stimuli is shaped both by past events (adaptation) and the expectation of future events (prediction). Here we employed a visual stimulus paradigm with different levels of predictability to characterise how expectation influences orientation selectivity in the primary visual cortex (V1) of mice. We recorded neuronal activity using two-photon calcium imaging (GCaMP6f) while animals viewed sequences of grating stimuli which either varied randomly in their orientations or rotated predictably with occasional transitions to an unexpected orientation. For single neurons and the population, there was significant enhancement in the gain of orientation-selective responses to unexpected gratings. This gain-enhancement for unexpected stimuli was prominent in both awake and anaesthetised mice. We implemented a computational model to demonstrate how trial-to-trial variability in neuronal responses were best characterised when adaptation and expectation effects were combined.

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Tang, M. F., Kheradpezhouh, E., Lee, C. C., Dickinson, J. E., Mattingley, J. B., Arabzadeh, E.. 2021-10-26. Sensory prediction errors increase coding efficiency in mouse visual cortex through gain amplification. https://doi.org/10.1101/2021.10.26.466004

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