2 citations · 4 across the 4 of their papers we have counts for
4 papers
Emergence of hybrid computational dynamics through reinforcement learning
Roman A. Kononov, Nikita A. Pospelov, Konstantin V. Anokhin +2
Understanding how learning algorithms shape the computational strategies that emerge in neural networks remains a fundamental challenge in machine intelligence. While network archi…
Fast gradient-free activation maximization for neurons in spiking neural networks
Nikita Pospelov, Andrei Chertkov, Maxim Beketov +2
Elements of neural networks, both biological and artificial, can be described by their selectivity for specific cognitive features. Understanding these features is important for un…
Topology of cognitive maps
Konstantin Sorokin, Anton Ayzenberg, Konstantin Anokhin +4
In present paper we discuss several approaches to reconstructing the topology of the physical space from neural activity data of CA1 fields in mice hippocampus, in particular, havi…
Spectral peculiarity and criticality of the human connectome
K. Anokhin, V. Avetisov, A. Gorsky +3
We have performed the comparative spectral analysis of structural connectomes for various organisms using open-access data. Our analysis indicates several new peculiar features of…