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Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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Published on: May 8, 2021

Sensory-to-motor transformations: From serial pipelines to dynamic, distributed processes.

Angelina Lam¹, Sarah Kabbara², Kaira Carstens²

¹Biomedical Sciences Program, University of California Riverside, 900 University Ave, Riverside, CA 92521, United States.

Neuroscience and Biobehavioral Reviews

|April 15, 2026

Summary

This summary is machine-generated.

Understanding how the brain transforms sensation into action is crucial. This review explores goal-directed sensory-to-motor transformations, highlighting dynamic neural mechanisms for flexible behavior.

Keywords:

Action selection Distributed neural circuits Evidence accumulation Sensory selection Sensory-to-motor transformation

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Area of Science:

Neuroscience
Systems Neuroscience
Cognitive Neuroscience

Background:

The transformation of sensory information into motor actions is a fundamental principle of nervous system organization.
Studies on sensory-to-motor transformations have provided critical insights into brain structure and function.

Purpose of the Study:

To provide a comprehensive review of goal-directed sensory-to-motor transformations.
To synthesize theoretical and experimental frameworks linking neural activity to behavior.
To discuss historical perspectives and emerging evidence challenging traditional models.

Main Methods:

Literature review and synthesis of theoretical and experimental studies.
Historical overview of sensory-to-motor transformation research.
Analysis of evidence for neuronal activity propagation and parallel processing.

Main Results:

Evidence supports neuronal activity propagation within the neocortex for decision-making and motor execution.
Emerging research indicates parallel processing and distributed representations in sensory-to-motor transformations.
Cortical dependence shifts with learning, challenging traditional linear models.

Conclusions:

Sensory-to-motor transformations involve complex, dynamic, and distributed neural mechanisms.
Future research on these transformations will illuminate flexible sensation-action linkages.
Open questions remain, offering significant opportunities for neuroscience discovery.