Toward an Effective Theory of Neurodynamics: Topological Supersymmetry Breaking, Network Coarse-Graining, and Instanton Interaction
Igor V. Ovchinnikov, Skirmantas Janusonis

TL;DR
This paper develops a topological and supersymmetric framework for understanding neurodynamics, proposing a coarse-graining method based on simplicial complexes to model neural network interactions and instanton dynamics.
Contribution
It introduces a novel coarse-graining approach using simplicial complexes and the enveloping lattice to construct effective theories of neurodynamics within the supersymmetric stochastic framework.
Findings
Neural networks can be represented by high-dimensional topological spaces.
The effective neurodynamics are modeled as instanton interactions in the coarse-grained space.
The approach links neurodynamics to topological invariants like de Rham cohomology.
Abstract
Experimental research has shown that the brain's fast electrochemical dynamics, or neurodynamics (ND), is strongly stochastic, chaotic, and instanton (neuroavalanche)-dominated. It is also partly scale-invariant which has been loosely associated with critical phenomena. It has been recently demonstrated that the supersymmetric theory of stochastics (STS) offers a theoretical framework that can explain all of the above ND features. In the STS, all stochastic models possess a topological supersymmetry (TS), and the "criticality" of ND and similar stochastic processes is associated with noise-induced, spontaneous breakdown of this TS (due to instanton condensation near the border with ordinary chaos in which TS is broken by non-integrability). Here, we propose a new approach that may be useful for the construction of low-energy effective theories of ND. Its centerpiece is a coarse-graining…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Mechanics and Applications · Biofield Effects and Biophysics
MethodsSpatio-temporal stability analysis
