Abstract
An approach to implementing variational Bayesian inference in biological systems is considered, under which the thermodynamic free energy of a system directly encodes its variational free energy. In the case of the brain, this assumption places constraints on the neuronal encoding of generative and recognition densities, in particular requiring a stochastic population code. The resulting relationship between thermodynamic and variational free energies is prefigured in mind-brain identity theses in philosophy and in the Gestalt hypothesis of psychophysical isomorphism.
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Kiefer, A. B. (2020). Psychophysical identity and free energy. Journal of the Royal Society Interface, 17(169). https://doi.org/10.1098/rsif.2020.0370
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