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Parallel Processing

Parallel Processing

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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Related Experiment Video

Updated: Apr 28, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Hand movements reflect competitive processing in numerical cognition.

Thomas J Faulkenberry¹

¹Tarleton State University.

Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale

|June 17, 2014

Summary

This summary is machine-generated.

Numerical cognition is not stage-based. Instead, number processing involves continuous competition, closely linked to motor system feedback, challenging traditional computer-based models.

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Area of Science:

Cognitive Psychology
Neuroscience
Human-Computer Interaction

Background:

Traditional numerical cognition models use a computer metaphor, viewing judgments as discrete stages.
This stage-based model may not fully capture the complexity of numerical decision-making processes.

Purpose of the Study:

To investigate the continuous and embodied nature of numerical cognition.
To challenge the adequacy of traditional stage-based models of number processing.

Main Methods:

Recorded hand movements of 45 adult participants using a mouse for parity judgments (odd/even) of single-digit numbers.
Employed distributional analyses of hand movement data to infer cognitive processes.

Main Results:

Hand movement data suggest number processing arises from competition between parallel mental representations.
Evidence supports a continuous, rather than discrete, stage-based model of numerical judgment.

Conclusions:

Numerical cognition is tightly coupled with motor system feedback.
The findings challenge the computer-based metaphor, supporting an embodied view of number processing.