[KIRJA][B] Nonlinear dynamical systems analysis for the behavioral sciences using real data

UR Data - 2011 - api.taylorfrancis.com
The study of nonlinear dynamical systems (NDS) dates back to the late nineteenth century,
although the majority of the progress has occurred in the last 30 years, and the majority of …

Estimating the entropy rate of spike trains via Lempel-Ziv complexity

JM Amigó, J Szczepański, E Wajnryb… - Neural …, 2004 - direct.mit.edu
Abstract Normalized Lempel-Ziv complexity, which measures the generation rate of new
patterns along a digital sequence, is closely related to such important source properties as …

Application of Lempel–Ziv complexity to the analysis of neural discharges

J Szczepański, JM Amigó, E Wajnryb… - … in Neural Systems, 2003 - iopscience.iop.org
Pattern matching is a simple method for studying the properties of information sources
based on individual sequences (Wyner et al 1998 IEEE Trans. Inf. Theory44 2045–56). In …

The computational structure of spike trains

R Haslinger, KL Klinkner, CR Shalizi - Neural computation, 2010 - direct.mit.edu
Neurons perform computations, and convey the results of those computations through the
statistical structure of their output spike trains. Here we present a practical method, grounded …

On the non-randomness of maximum Lempel Ziv complexity sequences of finite size

E Estevez-Rams, R Lora Serrano… - … Journal of Nonlinear …, 2013 - pubs.aip.org
Random sequences attain the highest entropy rate. The estimation of entropy rate for an
ergodic source can be done using the Lempel Ziv complexity measure yet, the exact entropy …

Toxin detection based on action potential shape analysis using a realistic mathematical model of differentiated NG108-15 cells

DK Mohan, P Molnar, JJ Hickman - Biosensors and Bioelectronics, 2006 - Elsevier
The NG108-15 neuroblastoma/glioma hybrid cell line has been frequently used for toxin
detection, pharmaceutical screening and as a whole-cell biosensor. However, detailed …

Characterisation of the effects of sleep deprivation on the electroencephalogram using permutation Lempel–Ziv complexity, a non-linear analysis tool

PD Tosun, D Abásolo, G Stenson, R Winsky-Sommerer - Entropy, 2017 - mdpi.com
Specific patterns of brain activity during sleep and waking are recorded in the
electroencephalogram (EEG). Time-frequency analysis methods have been widely used to …

Characterizing spike trains with Lempel–Ziv complexity

J Szczepański, JM Amigó, E Wajnryb… - Neurocomputing, 2004 - Elsevier
We review several applications of Lempel–Ziv complexity to the characterization of neural
responses. In particular, Lempel–Ziv complexity allows to estimate the entropy of binned …

Information content in cortical spike trains during brain state transitions

MM Arnold, J Szczepanski, N Montejo… - Journal of Sleep …, 2013 - Wiley Online Library
Even in the absence of external stimuli there is ongoing activity in the cerebral cortex as a
result of recurrent connectivity. This paper attempts to characterize one aspect of this …

Modeling of action potential generation in NG108-15 cells

P Molnar, JJ Hickman - Patch-Clamp Methods and Protocols, 2007 - Springer
In order to explore the possibility of identifying toxins based on their effect on the shape of
action potentials, we created a computer model of the action potential generation in NG108 …