Для цитирования:
Bazhanova M. V., Gordleeva S. Y., Kazantsev V. B., Lobov S. А. Control of network bursting discharges by local electrical stimulation in spiking neuron network [Бажанова М. В., Гордлеева С. Ю., Казанцев В. Б., Лобов С. А. Управление сетевыми пачечными разрядами локальной стимуляцией в спайковой нейронной сети] // Известия вузов. ПНД. 2021. Т. 29, вып. 3. С. 428-439. DOI: 10.18500/0869-6632-2021-29-3-428-439
Control of network bursting discharges by local electrical stimulation in spiking neuron network
[Управление сетевыми пачечными разрядами локальной стимуляцией в спайковой нейронной сети]
Цель. Работа посвящена управлению динамикой спайковых нейронных сетей с помощью локальной периодической стимуляции различных участков сети. Методы. Для моделирования используется сеть синаптически связанных спайковых нейронов, распределенных в двумерном пространстве. Динамика трансмембранного потенциала нейронов описывается моделью Ижикевича, кратковременная синаптическая пластичность представлена моделью Цодыкса–Маркрама, эффекты изменения эффективности связей между нейронами моделируются с помощью синаптической пластичности, зависящей от времени спайков (STDP). Результаты. Показано, что модель достаточно хорошо воспроизводит динамику живых нейронных сетей, выращенных в условиях in vitro. В своей спонтанной динамике такая сеть демонстрирует широкий диапазон динамических режимов, включая асинхронные спайки и квазисинхронные пачки спайков. Обнаружено, что благодаря STDP, сеть может адаптироваться к стимулирующему сигналу, так что сетевые пачки становятся синхронизированными (синхронизированными по фазе) с сигналом стимуляции. Проведен анализ зависимости данного эффекта от параметров стимуляции, в частности, от геометрических размеров стимулируемой области, а также от связности сети. Вывод. С помощью локальной периодической стимуляции части нейронной сети при выборе определенных параметров стимулирующего сигнала с учетом характеристик сети возможно внешнее управление динамикой спайковой нейронной сети.
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