3 citations · 4 across the 5 of their papers we have counts for
5 papers
Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi
Andrey Derzhavin, Denis Larionov
This paper presents a lightweight software-based approach for running spiking neural networks (SNNs) without relying on specialized neuromorphic hardware or frameworks. Instead, we…
Continual Learning with Columnar Spiking Neural Networks
Denis Larionov, Nikolay Bazenkov, Mikhail Kiselev
Continual learning is a key feature of biological neural systems, but artificial neural networks often suffer from catastrophic forgetting. Instead of backpropagation, biologically…
A Spiking Binary Neuron -- Detector of Causal Links
Mikhail Kiselev, Denis Larionov, Andrey Urusov
Causal relationship recognition is a fundamental operation in neural networks aimed at learning behavior, action planning, and inferring external world dynamics. This operation is…
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…
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…