Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations. - Dmitry Ivanov; Mikhail Kiselev; Denis A. Larionov (CoRR, 2022)

Neuromorphic Artificial Intelligence Systems. - Dmitry Ivanov; Aleksandr Chezhegov; Andrey Grunin; Mikhail V. Kiselev; Denis A. Larionov (CoRR, 2022)

A Spiking Binary Neuron - Detector of Causal Links. - Mikhail V. Kiselev; Denis A. Larionov; Andrey Urusov (CoRR, 2023)

From "What" to "When" - a Spiking Neural Network Predicting Rare Events and Time to their Occurrence. - Mikhail V. Kiselev; Andrey Lavrentyev; Denis A. Larionov; Dmitry A. Ivanov (IJCNN, 2024)

Neural Network Compression for Reinforcement Learning Tasks. - Dmitry A. Ivanov; Denis A. Larionov; Oleg V. Maslennikov; Vladimir V. Voevodin (CoRR, 2024)

A purely spiking approach to reinforcement learning. - Mikhail V. Kiselev; Alexander Ivanitsky; Denis A. Larionov (Cogn. Syst. Res., 2025)

Continual Learning with Columnar Spiking Neural Networks. - Denis A. Larionov; Nikolay Bazenkov; Mikhail Kiselev (CoRR, 2025)