Working memory capacity: the role of parameters of spiking neural network model

NS Kovaleva, VV Matrosov… - Izvestiya VUZ. Applied …, 2023 - journals.rcsi.science
Purpose of this work is to study a computational model of working memory formation based
on spiking neural network with plastic connections and to study the capacity of working …

Working memory capacity in spiking neural network with two types of plasticity

NS Kovaleva, VV Matrosov… - 2024 8th Scientific …, 2024 - ieeexplore.ieee.org
Working memory (WM) is a brain system for short-term storage and manipulation of
information and plays an important role in complex cognitive tasks. Most WM models contain …

[HTML][HTML] Емкость рабочей памяти: роль параметров импульсной нейронной сети

НС Ковалева, ВВ Матросов… - Известия высших …, 2023 - cyberleninka.ru
Цель работы—исследование формирования рабочей памяти на основе
вычислительной модели импульсной нейронной сети с пластичными связями и …

[PDF][PDF] Flexible Working Memory Model in Spiking Neural Network With Two Types of Plasticity

NS Kovaleva, VV Matrosov, M Mishchenko - 2023 - preprints.org
Working memory (WM) is a brain system for short-term storage and manipulation of
information and plays an important role in complex cognitive tasks. In the synaptic theory of …

Working memory capacity of spiking neural network model

NS Kovaleva, VV Matrosov… - 2022 6th Scientific …, 2022 - ieeexplore.ieee.org
Working memory (WM) is a system for shortterm storage and manipulation of information.
Neural circuits of the prefrontal cortex (PFC) of the brain are assumed to be responsible for …