Kiefer Alex B
Department of Philosophy, Monash University, Clayton, Victoria, Australia.
J R Soc Interface. 2020 Aug;17(169):20200370. doi: 10.1098/rsif.2020.0370. Epub 2020 Aug 5.
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.
本文探讨了在生物系统中实现变分贝叶斯推理的一种方法，在这种方法中，系统的热力学自由能直接编码其变分自由能。就大脑而言，这一假设对生成密度和识别密度的神经元编码施加了限制，特别要求一种随机群体编码。热力学自由能与变分自由能之间的这种关系在哲学中的心脑同一性论点以及心理物理同构的格式塔假设中已有预示。
