title: ÐÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð¾ÑÐµÐ½ÐºÐ° Ð½ÐµÐ¹ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Quantitative analysis of neuronal activity
Creators: name: ÐÐ¸ÑÐµÐ½ÐµÐ², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¡ÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
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miniscope
neuronal activity

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¾ÑÐµÐ½ÐºÐ¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð³Ð¾Ð»Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð·Ð³Ð° Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¾Ð¹ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð´ÑÐºÑÐ° Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð°ÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ñ Ð¿Ð¾ Ð·Ð½Ð°ÑÐµÐ½Ð¸ÑÐ¼ Ð¸Ð½ÑÐµÐ½ÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð². ÐÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÑÑ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð¾ÑÐµÐ½ÐºÐ° Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð¾Ð² Ð¿Ð¾ Ð¾ÑÐ´ÐµÐ»ÑÐ½Ð¾ÑÑÐ¸, Ð¿Ð¾ Ð³ÑÑÐ¿Ð¿Ð°Ð¼ Ð¸ Ð²ÑÐµÐ¹ ÑÐµÑÐ¸ ÑÐµÐ»Ð¾Ð¼. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð¾Ð¿Ð°ÑÐ½Ð¾Ð¹ Ð²Ð·Ð°Ð¸Ð¼Ð¾ÑÐ²ÑÐ·ÐµÐ¹ Ð¼ÐµÐ¶Ð´Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð°Ð¼Ð¸. ÐÑÐ¸ÑÑÑÑÑÐ²ÑÐµÑ Ð¼Ð¾Ð´ÑÐ»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð¾Ð² Ð² ÑÐµÑÐ¸. Ð¢Ð°ÐºÐ¶Ðµ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÑÑÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð² Ð´Ð°Ð½Ð½ÑÑ Ð·Ð°ÐºÐ¾Ð½Ð¾Ð¼ÐµÑÐ½Ð¾ÑÑÐµÐ¹ Ð¸ Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°ÑÑ Ð¸Ñ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸ ÑÐ»ÑÑÐ°Ð¹Ð½ÑÑ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸ÑÑ Ð² Ð´Ð°Ð½Ð½ÑÑ. ÐÐ»Ñ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð·Ð°Ð¿Ð¸ÑÐµÐ¹ Ð¼ÐµÐ¶Ð´Ñ ÑÐ¾Ð±Ð¾Ð¹ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¼Ð¾Ð´ÑÐ»Ñ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐ¸Ð¹ Ð²ÑÑÐµÐ¾Ð¿Ð¸ÑÐ°Ð½Ð½ÑÐµ Ð½Ð°ÑÐ°Ð±Ð¾ÑÐºÐ¸. ÐÐ¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð½ÑÑ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ¾Ð² Ð¼Ð¾Ð¶Ð½Ð¾ ÑÐ´ÐµÐ»Ð°ÑÑ Ð²ÑÐ²Ð¾Ð´, ÑÑÐ¾ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¿ÑÐ¾Ð´ÑÐºÑ ÑÑÐ¿ÐµÑÐ½Ð¾ Ð²ÑÐ¿Ð¾Ð»Ð½ÑÐµÑ Ð²ÑÐµ Ð¿Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐµ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¸ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½ Ð½Ð°ÑÑÐ½ÑÐ¼Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÐ¼Ð¸ Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ Ð°ÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸.
description: This work is devoted to the study of methods for assessing the neuronal activity of the brain and the development of a software product for complex analysis. The developed module provides the ability to detect the active state by the values of signal intensity. A quantitative analysis of the activity of neurons individually, by groups and the entire network is carried out. The analysis of pairwise relationships between neurons is implemented. There is a module for analyzing the spatial position of neurons in the network. It also provides an opportunity to detect patterns in the data and track their changes in case of random changes in the data. To compare different sessions with each other, a module has been developed using the above-described methods. Based on the results of the conducted experiments, it can be concluded that the developed software product successfully performs all the tasks and can be used by scientific researchers to analyze neuronal activity.