Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition
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DOI: 10.1155/2019/1879746
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References listed on IDEAS
- Jacob Feldman, 2000. "Minimization of Boolean complexity in human concept learning," Nature, Nature, vol. 407(6804), pages 630-633, October.
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- Biswa Sengupta & Simon Barry Laughlin & Jeremy Edward Niven, 2014. "Consequences of Converting Graded to Action Potentials upon Neural Information Coding and Energy Efficiency," PLOS Computational Biology, Public Library of Science, vol. 10(1), pages 1-18, January.
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Cited by:
- J. Gerard Wolff, 2019. "Mathematics as Information Compression via the Matching and Unification of Patterns," Complexity, Hindawi, vol. 2019, pages 1-25, December.
- J. Gerard Wolff, 2021. "How the SP System May Promote Sustainability in Energy Consumption in IT Systems," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
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