Development an intelligent method for restoring hippocampal activity after damage
2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA)(2023)
Abstract
The main goal of the study is to develop a new method based on artificial intelligence in order to restore activity of damaged hippocampal area. The hippocampus often has impaired functioning due to the neurodegeneration of its individual areas in neurodegenerative diseases, aging, or injuries. In this regard, the restoration of normal activity in the hippocampus based on modem methods of information processing is an important task. We report preliminary results on training a deep neural network with recordings of hippocampal local field potentials. These results showed the possibility of using described approach in the tasks of restoring population neuronal activity.
MoreTranslated text
Key words
artificial neuronal network,hippocampus,LSTM
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined