2016/10/04 by Z. Zh. Zhanabaev, Zhanabaev, Z. Zh., T. Yu. Grevtseva +3
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #FOS: Biological sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC) #nlin.AO #q-bio.NC
paper · pdf · doi:10.48550/arxiv.1610.01147
Our work is dedicated to the research of nonlinear characteristics of neural signals. 6 pages, 2 figures. arXiv admin note: text overlap with arXiv:1610.00446
arxiv created 2016/10/04 · arxiv updated 2016/10/06
The study is devoted to definition of generalized metrical and topological (informational entropy) characteristics of neural signals via their well-known theoretical models. We have shown that time dependence of action potential of neurons is scale invariant. Information and entropy of neural signals have constant values in case of self-similarity and self-affinity.