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

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

Published on: May 8, 2021

Keep your options open: an information-based driving principle for sensorimotor systems.

Alexander S Klyubin¹, Daniel Polani, Chrystopher L Nehaniv

¹Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.

|December 25, 2008

Summary

This study introduces a new information-based measure to quantify the efficiency of an organism's perception-action loop. This metric assesses how effectively an organism can interact with and be perceived by its environment, guiding evolutionary adaptation.

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Area of Science:

* Theoretical Biology
* Information Theory
* Systems Neuroscience

Background:

* The sensorimotor system relies on information processing for organismal function.
* Understanding the efficiency of the perception-action loop is crucial for modeling biological systems.
* Existing models may not fully capture the information dynamics between an organism and its environment.

Purpose of the Study:

* To propose a novel information-based quantity to measure perception-action loop efficiency.
* To characterize the potential for an organism to imprint and recapture information from its environment.
* To explore the implications of this quantity for understanding evolutionary and adaptive processes.

Main Methods:

* Development of an abstract organism model.
* Formulation of an information-based quantity to quantify sensorimotor efficiency.
* Analysis of various theoretical scenarios to validate the proposed quantity.

Main Results:

* Introduction of a quantifiable measure for perception-action loop efficiency.
* Demonstration that this quantity reflects the organism's capacity to influence and sense its environment.
* Identification of potential links between this measure and evolutionary trajectories.

Conclusions:

* The proposed information-based quantity offers a new perspective on sensorimotor system efficiency.
* This metric can potentially predict the direction of adaptation and evolution in biological systems.
* Further research can explore empirical validation and applications in diverse organisms.