3 citations · 3 across the 5 of their papers we have counts for
5 papers
A Spiking Neural Network Learning Markov Chain
Mikhail Kiselev
In this paper, the question how spiking neural network (SNN) learns and fixes in its internal structures a model of external world dynamics is explored. This question is important…
Neuromorphic Artificial Intelligence Systems
Dmitry Ivanov, Aleksandr Chezhegov, Andrey Grunin +2
Modern AI systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the brain. This article discusses su…
A Spiking Neural Network Structure Implementing Reinforcement Learning
Mikhail Kiselev
At present, implementation of learning mechanisms in spiking neural networks (SNN) cannot be considered as a solved scientific problem despite plenty of SNN learning algorithms pro…
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
Dmitry Ivanov, Mikhail Kiselev, Denis Larionov
This article proposes a sparse computation-based method for optimizing neural networks for reinforcement learning (RL) tasks. This method combines two ideas: neural network pruning…
A Spiking Neuron Synaptic Plasticity Model Optimized for Unsupervised Learning
Mikhail Kiselev
Spiking neural networks (SNN) are considered as a perspective basis for performing all kinds of learning tasks - unsupervised, supervised and reinforcement learning. Learning in SN…