Intelligence and Evolutionary Biology 1988
DOI: 10.1007/978-3-642-70877-0_23
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Brain, Mind and Reality: An Evolutionary Approach to Biological Intelligence

Abstract: Characterising the intelligence of biological organisms is challenging. This work considers intelligent algorithms developed evolutionarily within neural systems. Mathematical analyses unveil a natural equivalence between canonical neural networks, variational Bayesian inference under a class of partially observable Markov decision processes, and differentiable Turing machines, by showing that they minimise the shared Helmholtz energy. Consequently, canonical neural networks can biologically plausibly equip Tu… Show more

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Cited by 2 publications
(1 citation statement)
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“…This might explain how the impressive changes in the information-pro cessing capacity of the cerebral cortex during evolu tion [Hodos, 1982;Jerison, 1985;Hofman, 1988] and the extension and differentiation of cortical functions [Macphail, 1982] may have come about without drastic changes in the original design of the brain's geometry. Apparently, a simple increase in the degree of (neo)corticalization seems to have been sufficient to generate the potential for qualitative functional modifications.…”
Section: Discussionmentioning
confidence: 99%
“…This might explain how the impressive changes in the information-pro cessing capacity of the cerebral cortex during evolu tion [Hodos, 1982;Jerison, 1985;Hofman, 1988] and the extension and differentiation of cortical functions [Macphail, 1982] may have come about without drastic changes in the original design of the brain's geometry. Apparently, a simple increase in the degree of (neo)corticalization seems to have been sufficient to generate the potential for qualitative functional modifications.…”
Section: Discussionmentioning
confidence: 99%