Effective dimensionality of neuronal population activity in hippocampus correlates with behavior

We studied the population activity of hippocampal neurons in mice during novel arena exploration. To quantify the partial synchronization of neuronal activity, we calculated the effective dimensionality of a multidimensional time series of neuronal activity obtained using in vivo using calcium imaging. The effective dimensionality was calculated from the spectra of correlation matrices subjected to the consistent bias correction procedure. Applying this algorithm to mouse neural activity data, we found that the effective activity dimensionality of neuronal populations significantly increased during periods of animal stops. We attribute this finding to the presence of functional ensembles of neurons associated with movements, whose synchronised activity was disrupted during stops.

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Published
2024-09-19
DOI
https://doi.org/10.1109/dcna63495.2024.10718588
Citations
1
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
0.34
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article

Effective dimensionality of neuronal population activity in hippocampus correlates with behavior

K. V. Anokhin, Nikita Pospelov, Anna Ivanova, О. И. Ивашкина et al.
1 citations
Memory and Neural Mechanisms
0.34
article

Effective dimensionality of neuronal population activity in hippocampus correlates with behavior

K. V. Anokhin, Nikita Pospelov, Anna Ivanova, О. И. Ивашкина, Viktor Plusnin, К. А. Торопова, Olga Rogozhnikova
article en
1 citations

Abstract

We studied the population activity of hippocampal neurons in mice during novel arena exploration. To quantify the partial synchronization of neuronal activity, we calculated the effective dimensionality of a multidimensional time series of neuronal activity obtained using in vivo using calcium imaging. The effective dimensionality was calculated from the spectra of correlation matrices subjected to the consistent bias correction procedure. Applying this algorithm to mouse neural activity data, we found that the effective activity dimensionality of neuronal populations significantly increased during periods of animal stops. We attribute this finding to the presence of functional ensembles of neurons associated with movements, whose synchronised activity was disrupted during stops.

Lomonosov Moscow State University (RU)
Openalex Percentile: Top 40%
Memory and Neural Mechanisms
0.34
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