Abstract
The detection and signaling of prediction errors is central to the theory of predictive processing. Experiments that alter the sensory outcome of an animal’s behavior reveal enhanced neural responses to unexpected self-generated stimuli, including many neurons that do not respond to the same stimulus heard passively. These neurons may reflect the violation of a learned sensory-motor prediction, but could also emerge due to a combination of sound and movement in a way that is independent from expectation. Here, we train mice to expect the outcome of a simple sound-generating lever behavior and record neural responses to the expected sound and sounds that deviate from expectation in multiple distinct dimensions. Our data reveal suppression of expected sound responses that is specific across multiple stimulus dimensions simultaneously and stimulus-specific prediction error neurons that depend on sensory-motor expectations.
Competing Interest Statement
The authors have declared no competing interest.
