The normal system of ordinary differential equations, whose right-hand sides are the ratios linear and nonlinear positive functions, is considered. A feature these that some their denominators can take on arbitrarily small nonzero values. (Thus, modules corresponding derivatives large value.) In sequel, constructed equations used to model strongly oscillating processes (for example, determined ...

Evolving Cascade Neural Networks (ECNNs) and a new training algorithm capable of selecting informative features are described. The ECNN initially learns with one input node and then evolves by adding new inputs as well as new hidden neurons. The resultant ECNN has a near minimal number of hidden neurons and inputs. The algorithm is successfully used for training ECNN to recognise artefacts in s...

In this thesis, we develop and test a technology for computer-assisted assessments of newborn brain maturity from sleep electroencephalogram (EEG). Brain maturation of newborns is reflected in rapid development of EEG patterns over a number of weeks after conception. Observing the maturational patterns, experts can assess newborn’s EEG maturity with an accuracy ±2 weeks of newborn’s stated age....

EEG is a very useful neurological diagnosis tool, inasmuch as the EEG exam is easy to perform and relatively cheap. However, it generates large amounts of data, not easily interpreted by a clinician. Several methods have been tried to automate the interpretation of EEG recordings. However, their results are hard to compare since they are tested on different datasets. This means a benchmark data...

We investigate the problems that might arise when two recently developed methods for detecting interdependencies between time series using state space embedding are applied to signals of different complexity. With this aim, these methods were used to assess the interdependencies between two electroencephalographic channels from 10 adult human subjects during different vigilance states. The sign...

A number of papers have been published dealing with the EEG in developing stages of the chick embryo], 5,11,21922,23, 4 29, 37) as well as with the EEG of early stages of chicks after hatching4, 8,11,12, 13,23, 24, 32). Investigations, however, under unrestrained unanesthetized conditions, into the correlation between the EEG and the behavior of immature chickens have been limited ; KEY and MAR...

IINUMA, K., NARISAWA, K., YAMAUCHI, N., YOSHIDA, T. and MIZUNO, T. Pyridoxine Dependent Convulsion: Effect of Pyridoxine Therapy on Electro encephalograms. Tohoku J. exp. Med., 1971, 105 (1), 19-26 In a 7-month old boy with vitamin B6 dependent convulsion it was found that distribution of energy % of the EEG basic waves as well as an auto-correlogram of EEG remained abnormal 24 hours after an i...

The human electroencephalogram (EEG) is globally characterized by a 1=f power spectrum superimposed with certain peaks, whereby the ‘‘alpha peak’’ in a frequency range of 8–14Hz is the most prominent one for relaxed states of wakefulness. We present simulations of a minimal dynamical network model of leaky integrator neurons attached to the nodes of an evolving directed and weighted random grap...

We describe a new algorithm for learning multi-class neural-network models from large-scale clinical electroencephalograms (EEGs). This algorithm trains hidden neurons separately to classify all the pairs of classes. To find best pairwise classifiers, our algorithm searches for input variables which are relevant to the classification problem. Despite patient variability and heavily overlapping ...