Precise movement-based predictions in the mouse auditory cortex.

Area of Science:

• Neuroscience
• Auditory Cortex Research
• Sensory Processing

Background:

• Anticipating self-generated sensory information is vital for behavior.
• Neural responses to self-generated sounds show frequency-specific suppression in the auditory cortex.
• Previous research questioned the temporal precision and specificity of these predictive modulations.

Purpose of the Study:

• To investigate if auditory cortical modulation by self-generated sounds is behaviorally specific and temporally precise.
• To determine if expectation signals are present locally within the auditory cortex.
• To identify neural mechanisms underlying the link between action and auditory outcome.

Main Methods:

• Mice were trained using a closed-loop system to associate forelimb movements with specific acoustic outcomes.
• Dense neuronal recordings were performed in the auditory cortex during trained tasks.
• Recordings were also conducted in the absence of sound to isolate movement and expectation signals.

Main Results:

• Auditory cortical responses to self-generated sounds were suppressed in a manner specific to expected acoustic features and movement timing.
• Prediction errors recruited distinct neuronal populations.
• Movement and expectation signals were identified in various auditory cortex layers, peaking at expected feedback times.

Conclusions:

• The auditory cortex implements behaviorally specific and temporally precise predictions of self-generated sounds.
• Distinct neuronal populations encode movement, expectation, and prediction errors.
• Findings support a learned internal model linking actions to their acoustic consequences within the auditory cortex.