Predictive motor control of sensory dynamics in auditory active sensing

Area of Science:

• Neuroscience
• Auditory Perception
• Cognitive Science

Background:

• Neuronal oscillations are proposed as mechanisms for temporal prediction in brain function.
• Auditory perception, particularly speech processing, relies on encoding complex temporal information.
• The interplay between sensory and motor systems in auditory processing is an area of active research.

Purpose of the Study:

• To review the role of neuronal oscillations in temporal prediction within auditory perception.
• To explore how hierarchically organized oscillations parse complex auditory input, using speech as an example.
• To investigate the contribution of the motor system to auditory processing and its interaction with attention.

Main Methods:

• Literature review of studies on neuronal oscillations and auditory perception.
• Analysis of hierarchical organization in brain rhythms.
• Discussion of audio-motor and audio-somatosensory interactions.
• Conceptual integration of temporal predictions within internal models of perception.

Main Results:

• Hierarchically organized neuronal oscillations can effectively parse and encode complex auditory streams like speech.
• Motor system rhythms provide temporal priors that, with attention, sharpen sensory representations.
• Audio-motor interactions, potentially involving the somatosensory system, are crucial for auditory processing.
• Temporal predictions interact synergistically with other predictive mechanisms (feature-based, spatial) within internal models.

Conclusions:

• Neuronal oscillations are fundamental to temporal prediction in auditory perception.
• The motor system plays a significant role in shaping auditory processing through rhythmic inputs.
• Multidimensional predictive filters, formed by synergistic interactions, are essential for robust perception.