3 papers
cs.NE2021
BraidNet: procedural generation of neural networks for image classification problems using braid theory
Olga Lukyanova, Oleg Nikitin, Alex Kunin
In this article, we propose the approach to procedural optimization of a neural network, based on the combination of information theory and braid theory. The network studied in the…
q-bio.NC2021
The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks
Oleg Nikitin, Olga Lukyanova, Alex Kunin
Parallels between the signal processing tasks and biological neurons lead to an understanding of the principles of self-organized optimization of input signal recognition. In the p…
q-bio.NC2021
Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
Oleg Nikitin, Olga Lukyanova, Alex Kunin
Biological neurons have adaptive nature and perform complex computations involving the filtering of redundant information. However, most common neural cell models, including biolog…