Topology and Higher Concurrencies
Nils A. Baas
TL;DR
This paper introduces a topological framework for analyzing higher order concurrencies in neural codes, providing a new mathematical approach to understanding complex neural interactions.
Contribution
It presents a general topological method for studying higher concurrencies, specifically applied to neural codes, advancing the mathematical tools in neuroscience.
Findings
Developed a topological model for higher concurrencies.
Applied topology to neural coding analysis.
Suggested methods for handling higher order neural interactions.
Abstract
We formulate a general approach to higher concurrencies in general and neural codes in particular, and suggest how the higher order aspects may be dealt with in using topology.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Neural Networks and Applications · Fractal and DNA sequence analysis