ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

Нелинейная динамика и нейронаука

Interaction between PFC neural networks ultra-slow fluctuations and brain oscillations

The aim of our work was to study the influence of the different brain rhythms (i.e. theta, beta, gamma ranges with frequencies from 5 Hz to 80 Hz) on the ultra slow oscillations (USOs with frequency of 0.5 Hz and below), where high and low activity states alternate. The USOs is usually observed within neural activity in the human brain and in the prefrontal cortex in particular during rest. The USOs are considered to be generated by the local cortical circuitry together with pulse-like inputs and neuronal noise.

Динамика сети дискретных модельных нейронов при контролируемом обучении системы резервуарных вычислений

Резервуарные вычисления -- парадигма на стыке вычислительной нейронауки и машинного обучения, в которой предполагается, что обработка информации осуществляется в особой высокоразмерной сети, называемой резервуаром. В данной работе рассматривается система резервуарных вычислений, которая содержит сеть модельных нейронов с дискретным временем -- точечных отображений. Задача состоит в обучении системы автономно генерировать сигнал определенного типа на выходе.

On the role of «pattern» and «symbol» concepts for simulation of the thinking process via neurocomputing

The concepts of «pattern» and «symbol» and their functions are discussed in the context of «thinking» system of combined neuroprocessors. It is shown that the pattern subsystem does play a key role in recording and store of information. The symbol subsystem initiation provides the transition to conventional semantic information and communications with environment. The paradigm of attention within the scheme presented is secured by a parametric effect of symbol subsystem on the image one.

The construction scheme of neuroprocessors able to realize the basic functions of thinking and scientific creativity

We propose a version of the neuroprocessor construction scheme, which in principle capable to solve problems commonly treated as creative work. The role of conventional information is discussed, and the specific block for the symbol formation is suggested. The system capable to solve logic problems has been pointed out. It is shown that the symbol (logical) subsystem is able to interpolate and extrapolate in the process of pattern recognition and prognosis.

Skin sensitivity: specificity of the dynamics of spatial­temporal patterns of activity of mechanoreceptors versus «labeled lines»

Through the development of methods for detecting the dynamics of spatial­temporal patterns of activity in the nervous system fundamental evidences obtained, that the sensory code have integrative nature and theories of localisation of function are inconsistent. The paper presents a review of electrophysiological data and models, indicating the integrative mechanisms of information coding in the peripheral skin analyzer of humans and animals.

Nonlinear dynamics of an expert,s thinking and algorithms of his professional knowledge expansion by example of medical problems

The process of a problem area experts knowledge acquisition is considered from a nonlinear dynamics positions. Stages and types of acquired knowledge are marked out; the role of an intuitive thinking in decision process concerning complex objects is defined. The role of intelligent data analysis methods in new knowledge forming processes is defined. The result of a developed «Semantic computer knowledge base analysis» algorithm is given on an example of the concrete medical problem.

Adaptive control signals of a mismatch in cognitive processes: the role of the endogenous opioid system

In the work we consider the classic cyclic schemes for the construction of cognitive processes. Based on neurobiological data we indicate the need to introduce a special mechanism for adaptive control signals of a mismatch in cognitive processes at the stage preceeding the decision point. Endogenous opioid system can be considered one of the major neurochemical candidates for such «breakers». This system provides the suppression of signals about a mismatch between current and target states of the cognitive system.

Sequential switching activity in the ensemble of nonidentical poincare systems ?

Switching activity in the ensemble of inhibitory coupled Poicare systems is considered. The existence of heteroclinic contour in the phase space at the certain domain of parameter space has shown. Dynamics of the ensemble of non-identical inhibitory and di?usively coupled systems of Poincare is considered. The approximate bifurcation diagrams for all qualitatively di?erent regimes of the network activity have shown.

Sequential activity in neuronal ensembles with excitatory couplings

A new model of neurons like elements is suggested in the paper. The model is based on the generalized Lottka–Volterra model with excitatory coupling. The study is motivated by the fact that the excitatory couplings are the dominating type of interactions between neurons in the human brain. It is shown in the paper that there are two regimes exist in such ensemble of oscillators in dependence on the coupling between the elements: the regime with stable heteroclinical cycle and the regime with stable limit cycle.

Optimization of basis function set for model map reconstruction of short electroencephalogram tracings during epileptic seizure

The problem of compact mathematical model reconstruction of short electroencephalogram tracings during epileptic seizure is solved. This kind of model map can be useful in many applications, for example, in time series segmentation with following clustering of obtained fragments. Optimization methods are proposed as a solution. It is shown that application of optimization methods allows to obtain adequate model at that time decreasing number of modeling map basis functions.