Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity. - Vyacheslav A. Demin; Dmitry V. Nekhaev (Frontiers Neuroinformatics, 2018)

Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network. - Vyacheslav A. Demin; Dmitry V. Nekhaev; Igor A. Surazhevsky; Kristina E. Nikiruy; Andrey V. Emelyanov; Sergey N. Nikolaev; Vladimir V. Rylkov; Mikhail V. Kovalchuk (Neural Networks, 2021)

Fine-tuning with local learning rules helps to compress and accelerate spiking neural networks without accuracy loss. - Dmitry V. Nekhaev; Vyacheslav A. Demin (Neural Comput. Appl., 2022)