The Free Energy Principle drives neuromorphic development

• URL: http://arxiv.org/abs/2207.09734v1
• Date: Wed, 20 Jul 2022 08:22:03 GMT
• Title: The Free Energy Principle drives neuromorphic development
• Authors: Chris Fields, Karl Friston, James F. Glazebrook, Michael Levin, and Antonino Marcian\`o
• Abstract summary: We show how any system with morphological degrees of freedom and locally limited free energy will evolve toward a neuromorphic morphology. This morphology supports hierarchical computations in which each level enacts a coarse-graining of its inputs, and dually a fine-graining of its outputs.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We show how any system with morphological degrees of freedom and locally limited free energy will, under the constraints of the free energy principle, evolve toward a neuromorphic morphology that supports hierarchical computations in which each level of the hierarchy enacts a coarse-graining of its inputs, and dually a fine-graining of its outputs. Such hierarchies occur throughout biology, from the architectures of intracellular signal transduction pathways to the large-scale organization of perception and action cycles in the mammalian brain. Formally, the close formal connections between cone-cocone diagrams (CCCD) as models of quantum reference frames on the one hand, and between CCCDs and topological quantum field theories on the other, allow the representation of such computations in the fully-general quantum-computational framework of topological quantum neural networks.

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