Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance

Ande, Sathish and Regatti, Jayanth R and Pandey, Neha and Karunarathne, Ajith and Giri, Lopamudra and Jana, Soumya (2021) Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance. In: International IEEE/EMBS Conference on Neural Engineering, NER, 4 May 2021 - 6 May 2021.

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Statistical similarities between neuronal spike trains could reveal significant information on complex underlying processing. In general, the similarity between synchronous spike trains is somewhat easy to identify. However, the similar patterns also potentially appear in an asynchronous manner. However, existing methods for their identification tend to converge slowly, and cannot be applied to short sequences. In response, we propose Hellinger distance measure based on empirical probabilities, which we show to be as accurate as existing techniques, yet faster to converge for synthetic as well as experimental spike trains. Further, we cluster pairs of neuronal spike trains based on statistical similarities and found two non-overlapping classes, which could indicate functional similarities in neurons. Significantly, our technique detected functional heterogeneity in pairs of neuronal responses with the same performance as existing techniques, while exhibiting faster convergence. We expect the proposed method to facilitate large-scale studies of functional clustering, especially involving short sequences, which would in turn identify signatures of various diseases in terms of clustering patterns.

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IITH Creators:
IITH CreatorsORCiD
Regatti, Jayanth RUNSPECIFIED
Giri, Lopamudrahttp://orcid.org/0000-0002-2352-7919
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Empirical probabilities; Faster convergence; Functional heterogeneity; Functional similarity; Hellinger distance; Large-scale studies; Neuronal response; Short sequences
Subjects: Chemical Engineering
Divisions: Department of Biotechnology
Depositing User: . LibTrainee 2021
Date Deposited: 09 Jul 2021 04:42
Last Modified: 09 Jul 2021 04:42
URI: http://raiith.iith.ac.in/id/eprint/8181
Publisher URL: http://doi.org/10.1109/NER49283.2021.9441175
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