The Concept of Hippocampal Activity Restoration Using Artificial Intelligence Technologies

AV Beltyukova, VV Razin, NV Gromov… - International Conference …, 2023 - Springer
Real-time processing and decoding of neural signals play a crucial role in biohybrid
neuroprostheses, as they provide feedback to modulate or replace neural function …

Prediction of Hippocampal Signals in Mice Using a Deep Learning Approach for Neurohybrid Technology Applications

AV Lebedeva, MI Samburova, VV Razin, NV Gromov… - Algorithms, 2024 - mdpi.com
The increasing growth in knowledge about the functioning of the nervous system of
mammals and humans, as well as the significant neuromorphic technology developments in …

[HTML][HTML] Advanced neuromorphic engineering approaches for restoring neural activity after brain injury: innovations in regenerative medicine

AN Pisarchik, SA Gerasimova… - Regenerative …, 2024 - journals.lww.com
Restoring neural function after brain injury is a critical medical challenge, as conventional
treatments often fail to achieve full recovery. This makes the development of innovative …

Neuronal Activity Stimulation in Mouse Hippocampal Slice for Memory Restoration Using LSTM-Predicted Signal

AV Naumov, IM Kipelkin, MI Samburova… - International Conference …, 2024 - Springer
We develop an experimental approach for stimulating neuronal activity in mouse
hippocampal slices using an artificial neuron controlled by various types of predicted …

[PDF][PDF] SYNCHRONIZATION OF MEMRISTIVE NEURONAL OSCILLATORS

IM Kipelkin, SA Gerasimova, AI Belov, AN Mikhailov… - neural networks - jre.cplire.ru
The article discusses a memristive neuromorphic system, which is comprised of two analog
memristive neurons-Fitzhugh-Nagumo-connected via a memristive device with the …

[PDF][PDF] Синхронизация мемристивных нейронных генераторов

ИМ Кипелкин, СА Герасимова, АИ Белов… - jre.cplire.ru
В статье рассматривается мемристивная нейроморфная система, состоящая из двух
аналоговых мемристивных нейронов Фитцхью-Нагумо, соединенных через …