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A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

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Beyond Neural Coding? Lessons from Perceptual Control Theory.

Xerxes D Arsiwalla¹, Ruben Moreno Bote^2,3, Paul Verschure^1,4

¹Institute for Bioengineering of Catalonia & Barcelona Institute for Science and Technology, 08019Barcelona, Spainx.d.arsiwalla@gmail.compverschure@ibecbarcelona.euhttps://specs-lab.com.

The Behavioral and Brain Sciences

|November 29, 2019

Summary

This summary is machine-generated.

Neural coding challenges echo behaviorism

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Area of Science:

Neuroscience
Cognitive Science
Control Theory

Background:

Modern neural coding faces challenges similar to those in twentieth-century behaviorism.
Behaviorism struggled with explaining complex behaviors and their underlying mechanisms.

Purpose of the Study:

To draw parallels between neural coding and behaviorism.
To apply lessons from behaviorism, specifically Perceptual Control Theory, to neural coding.
To demonstrate the utility of control theory in understanding neural processes.

Main Methods:

Comparative analysis of historical behaviorism and current neural coding paradigms.
Application of Perceptual Control Theory principles.
Illustrative examples demonstrating the theory's application.

Main Results:

Perceptual Control Theory offers a framework for understanding behavior as a goal-directed, closed-loop system.
This control theory approach provides potential solutions to current neural coding challenges.
Two examples illustrate the successful application of these principles.

Conclusions:

Lessons from resolving behaviorism's challenges are applicable to neural coding.
Perceptual Control Theory offers a valuable perspective for advancing neural coding research.
Integrating control theory can enhance our understanding of neural mechanisms underlying behavior.