Neurons as hierarchies of quantum reference frames

• URL: http://arxiv.org/abs/2201.00921v1
• Date: Tue, 4 Jan 2022 00:53:56 GMT
• Title: Neurons as hierarchies of quantum reference frames
• Authors: Chris Fields, James F. Glazebrook and Michael Levin
• Abstract summary: We develop a uniform, scalable representation of synapses, dendritic and axonal processes, neurons, and local networks of neurons. We summarize how the model may be generalized to nonneural cells and tissues in developmental and regenerative contexts.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Conceptual and mathematical models of neurons have lagged behind empirical understanding for decades. Here we extend previous work in modeling biological systems with fully scale-independent quantum information-theoretic tools to develop a uniform, scalable representation of synapses, dendritic and axonal processes, neurons, and local networks of neurons. In this representation, hierarchies of quantum reference frames act as hierarchical active-inference systems. The resulting model enables specific predictions of correlations between synaptic activity, dendritic remodeling, and trophic reward. We summarize how the model may be generalized to nonneural cells and tissues in developmental and regenerative contexts.

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