loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets

Topics: Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World Applications, Financial Applications, Neural Prostheses and Medical Applications, Neural Based Data Mining and Complex Information Process; Computational Neuroscience

Authors: Margarita Zaleshina 1 and Alexander Zaleshin 2

Affiliations: 1 Moscow Institute of Physics and Technology, Moscow, Russia ; 2 Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia

Keyword(s): Brain Imaging, Pattern Recognition, Optogenetics, Mouse Brain.

Abstract: This work introduces a new approach for spatial analysis of assumed dynamics of neuronal activity in mouse brain images obtained by light-sheet fluorescence microscopy methods (LSM). In calculations we used flocking algorithms based on neuronal activity distributions from slice to slice with a time delay that occurs during scanning. We applied GDAL Tools and LF Tools in QGIS for topological processing of multi-page TIFF files with LSM datasets. As a result, we identified localizations of sites with small movements of group neuronal activity passing in the same locations (with retaining localization) from slice to slice. An important advantage of this result is the ability to reveal locations with pronounced neuronal activity in a sequence of several adjacent slices, as well as to identify set of sites with interslice activity.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.244.160

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zaleshina, M. and Zaleshin, A. (2023). Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets. In Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA; ISBN 978-989-758-674-3; ISSN 2184-3236, SciTePress, pages 471-478. DOI: 10.5220/0012154100003595

@conference{ncta23,
author={Margarita Zaleshina and Alexander Zaleshin},
title={Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA},
year={2023},
pages={471-478},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012154100003595},
isbn={978-989-758-674-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA
TI - Application of the Flocking Method for Spatial Analysis of Brain Activity in Optogenetics Datasets
SN - 978-989-758-674-3
IS - 2184-3236
AU - Zaleshina, M.
AU - Zaleshin, A.
PY - 2023
SP - 471
EP - 478
DO - 10.5220/0012154100003595
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic