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Precise movement-based predictions in the mouse auditory cortex
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DOI：10.1016/j.cub.2022.09.064.png)
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Abstract
En 中文
Many of the sensations experienced by an organism are caused by their own actions, and accurately antic-ipating both the sensory features and timing of self-generated stimuli is crucial to a variety of behaviors. In the auditory cortex, neural responses to self-generated sounds exhibit frequency-specific suppression, sug-gesting that movement-based predictions may be implemented early in sensory processing. However, it re-mains unknown whether this modulation results from a behaviorally specific and temporally precise predic-tion, nor is it known whether corresponding expectation signals are present locally in the auditory cortex. To address these questions, we trained mice to expect the precise acoustic outcome of a forelimb movement using a closed-loop sound-generating lever. Dense neuronal recordings in the auditory cortex revealed sup-pression of responses to self-generated sounds that was specific to the expected acoustic features, to a pre-cise position within the movement, and to the movement that was coupled to sound during training. Predic-tion-based suppression was concentrated in L2/3 and L5, where deviations from expectation also recruited a population of prediction-error neurons that was otherwise unresponsive. Recording in the absence of sound revealed abundant movement signals in deep layers that were biased toward neurons tuned to the expected sound, as well as expectation signals that were present throughout the cortex and peaked at the time of ex-pected auditory feedback. Together, these findings identify distinct populations of auditory cortical neurons with movement, expectation, and error signals consistent with a learned internal model linking an action to its specific acoustic outcome.
Keywords:
PRIMARY VISUAL-CORTEX
SYNAPTIC PLASTICITY
RECEPTIVE-FIELDS
BASAL FOREBRAIN
THALAMIC INPUT
BARREL CORTEX
CIRCUIT
MODULATION
FEEDBACK
STATE
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