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Contrast Information Dynamics: A Novel Information Measure for Cognitive Modelling.
Steven T Homer1, Nicholas Harley1, Geraint A Wiggins1,2
1Computational Creativity Lab, Artificial Research Group, Vrije Universiteit Brussel, 1050 Etterbeek, Belgium.
Entropy (Basel, Switzerland)
|August 29, 2024
Summary
We introduce contrast information, a new method for cognitive modeling of continuous signal perception. This approach, based on relative entropy, shows strong correlation with existing cognitive models.
Area of Science:
- Cognitive Science
- Information Theory
- Computational Neuroscience
Background:
- Sequential perception of continuous signals is crucial for understanding music and language.
- Entropy is relevant for cognitive modeling of sequential phenomena.
- Existing cognitive models for sequential data have limitations.
Purpose of the Study:
- Introduce contrast information as a novel application of relative entropy.
- Demonstrate the utility of contrast information for cognitive modeling.
- Explore the properties and potential applications of contrast information.
Main Methods:
- Applied specific cases of relative entropy to develop contrast information.
- Empirically tested the discrete case of contrast information.
- Correlated contrast information with existing successful cognitive models.
Main Results:
- Contrast information is a novel application of relative entropy.
- The discrete case of contrast information shows good correlation with existing cognitive models.
- Contrast information possesses interesting theoretical properties.
Conclusions:
- Contrast information shows promise for cognitive modeling of sequential perception.
- Future work will focus on developing a cognitive architecture utilizing contrast information.
- This approach offers a new perspective on understanding how continuous signals are perceived sequentially.
Keywords:
Gaussian processMarkov processcognitive modellingcontinuous systemscoordinate invarianceinformation dynamicsinformation measureinformation theorypredictive informationspecific informationMore Related Videos
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