Alexander E. Hramov · Alexey A. Koronovskii · Valeri A. Makarov · Vladimir A. Maksimenko ·
Alexey N. Pavlov Page 1 Springer Series in Synergetics Alexander E. Hramov · Alexey A …

ÿþ 5 9 2 ; 5 B - 0 = 0 ; 8 7 2 = 5 9 @ > 4 8 = 0 < 8 : 5 Page 1 Содержание 1. Введение (905). 2.
Общие сведения о вейвлетах (908). 2.1. Непрерывное вейвлет-преобразование. 2.2 …

Deciphering the electrical activity of individual neurons from multi-unit noisy recordings is
critical for understanding complex neural systems. A widely used spike sorting algorithm is …

Настоящая монография посвящена теоретическим и прикладным аспектам
вейвлетного анализа. В книге подробно рассмотрены вопросы практического …

Wavelet transform has been widely applied in extracting characteristic information in spike
sorting. As the wavelet coefficients used to distinguish various spike shapes are often …

Neural spike sorting is an indispensable first step for the analysis of multiple spike train data.
As it is very common that noises degrade the performance of most of the available spike …

This thesis presents new methods for classifying and tracking the signals of targets that
produce clusters of observations, measured in successive recording intervals or scans. This …

Paralysis or paresis induced by upper motor neuron damage often leaves the lower limbs
dysfunctional for basic activities such as walking and climbing stairs. Nearly five and one …

Актуальность работы. Терминология" вейвлетов"(от англ. wavelet, что в дословном
переводе означает" маленькая волна") сформировалась в 80 х годах XX века [Гроссман …

This paper introduces a new methodology for tracking signals from individual neurons over
time in multi-unit extracellular recordings. The core of our strategy relies upon an extension …