Riemannian Topological Analysis of Neuronal Activity

Cerebral dynamics emerge from the brain’s substrate due to the anatomical patterns of its physical connections, which we know are not a fixed structure but are subject to temporal and local modifications. This circumstance makes it possible for a more or less fixed number of neurons to generate a range of complex networks. By studying the topological space associated with these physical connections and their geometric dynamics, we can use Differential Geometry to study the foundations of the brain’s connectome.

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Publication Details

Journal
Symmetry
Published
2025-03-09
DOI
https://doi.org/10.3390/sym17030412
Citations
1
Primary Topic
Axon Guidance and Neuronal Signaling
Type
article
Field-Weighted Citation Impact
0.91

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article

Riemannian Topological Analysis of Neuronal Activity

Manuel Reina, Manuel Rivas
1 citations
Symmetry
Axon Guidance and Neuronal Signaling
0.91
article

Riemannian Topological Analysis of Neuronal Activity

Manuel Reina, Manuel Rivas
article en
1 citations

Abstract

Cerebral dynamics emerge from the brain’s substrate due to the anatomical patterns of its physical connections, which we know are not a fixed structure but are subject to temporal and local modifications. This circumstance makes it possible for a more or less fixed number of neurons to generate a range of complex networks. By studying the topological space associated with these physical connections and their geometric dynamics, we can use Differential Geometry to study the foundations of the brain’s connectome.

SymmetryVol. 17(3)
Universitat de Barcelona (ES), Universitat Politècnica de Catalunya (ES)
Fundació Bosch i Gimpera
Openalex Percentile: Top 30%
Axon Guidance and Neuronal Signaling
0.91
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Riemannian Topological Analysis of Neuronal Activity — Manuel Reina, Manuel Rivas · Symmetry (2025) | TGRS Research Map | TGRS