44 citations · 102 across the 8 of their papers we have counts for
8 papers
Modeling of interstitial branching of axonal networks
Y. Suleymanov, F. Gafarov, N. Khusnutdinov
A single axon can generate branches connecting with plenty synaptic targets. Process of branching is very important for making connections in central nervous system. The interstiti…
The simulation of the activity dependent neural network growth
F. Gafarov, N. Khusnutdinov, F. Galimyanov
It is currently accepted that cortical maps are dynamic constructions that are altered in response to external input. Experience-dependent structural changes in cortical microcurcu…
Relaxational Singularities of Human Motor System at Aging Due to Short-Range and Long-Range Time Correlations
Renat M. Yulmetyev, David E. Valliancourt, Fail M. Gafarov +3
In this paper we study the relaxation singularities of human motor system at aging. Our purpose is to examine the structure of force output variability as a function of human aging…
Activity-dependent self-wiring is a basis of structural plastisity in neural networks
Fail M. Gafarov
Dynamical wiring and rewiring in neural networks are carried out by activity-dependent growth and retraction of axons and dendrites, guided by gudance molecules, released by target…
Self-wiring in neural nets of point-like cortical neurons fails to reproduce cytoarchitectural differences
Fail M. Gafarov
We propose a model for description of activity-dependent evolution and self-wiring between binary neurons. Specifically, this model can be used for investigation of growth of neuro…
Stratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients
Renat Yulmetyev, Sergey Demin, Natalya Emelyanova +2
In this work we develop a new method of diagnosing the nervous system diseases and a new approach in studying human gait dynamics with the help of the theory of discrete non-Markov…