title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð° Ð¸Ð½ÐºÑÐµÐ¼ÐµÐ½ÑÐ½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð² ÑÐ¿Ð°Ð¹ÐºÐ¾Ð²ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÑÑ
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: Development and research of incremental learning method in spiking neural networks
Creators: name: ÐÐ¾ÑÐºÐ¾Ð²ÑÐºÐ¸Ð¹, ÐÐµÐ¾ÑÐ³Ð¸Ð¹
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: 2024
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¸Ð½ÐºÑÐµÐ¼ÐµÐ½ÑÐ½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ½Ð°Ñ ÑÐ¿Ð°Ð¹ÐºÐ¾Ð²Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð°
incremental learning
classificatiom
learning algorithm
compartmental spiking neuron model

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description: This work is dedicated to the development and research of an incremental learning algorithm for the compartmental spiking neuron model to solve the classification problem. The tasks addressed during the research are: 1) investigation of methods and approaches for implementing incremental learning in spiking neural networks; 2) development of an incremental learning algorithm for the compartmental spiking neuron model; 3) implementation of the learning algorithm in Python; 4) experimental investigation of the learning algorithm in solving the classification problem. As a result, an incremental learning algorithm for spiking neural networks, based on the compartmental spiking neuron model, was proposed. The implemented algorithm allows the model to adapt to new data while retaining knowledge from previous learning stages. Experimental results showed that the proposed algorithm effectively solves the classification problem, minimizing the issue of catastrophic forgetting. Future research may focus on optimizing the developed algorithm and applying it in various fields, such as robotics and autonomous control systems.