The sound symbolism bootstrap** hypothesis for language acquisition and language evolution

M Imai, S Kita - … transactions of the Royal Society B …, 2014‏ - royalsocietypublishing.org
Sound symbolism is a non-arbitrary relationship between speech sounds and meaning. We
review evidence that, contrary to the traditional view in linguistics, sound symbolism is an …

The brainweb: phase synchronization and large-scale integration

F Varela, JP Lachaux, E Rodriguez… - Nature reviews …, 2001‏ - nature.com
The emergence of a unified cognitive moment relies on the coordination of scattered
mosaics of functionally specialized brain regions. Here we review the mechanisms of large …

[کتاب][B] Analyzing neural time series data: theory and practice

MX Cohen - 2014‏ - books.google.com
A comprehensive guide to the conceptual, mathematical, and implementational aspects of
analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This …

[HTML][HTML] How reliable are MEG resting-state connectivity metrics?

GL Colclough, MW Woolrich, PK Tewarie, MJ Brookes… - Neuroimage, 2016‏ - Elsevier
MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

The synchronization of chaotic systems

S Boccaletti, J Kurths, G Osipov, DL Valladares… - Physics reports, 2002‏ - Elsevier
Synchronization of chaos refers to a process wherein two (or many) chaotic systems (either
equivalent or nonequivalent) adjust a given property of their motion to a common behavior …

[کتاب][B] Wavelets in neuroscience

AE Hramov, AA Koronovskii, VA Makarov, AN Pavlov… - 2015‏ - Springer
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 …

A note on the phase locking value and its properties

S Aydore, D Pantazis, RM Leahy - Neuroimage, 2013‏ - Elsevier
We investigate the properties of the Phase Locking Value (PLV) and the Phase Lag Index
(PLI) as metrics for quantifying interactions in bivariate local field potential (LFP) …

Nonlinear multivariate analysis of neurophysiological signals

E Pereda, RQ Quiroga, J Bhattacharya - Progress in neurobiology, 2005‏ - Elsevier
Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony

M Le Van Quyen, J Foucher, JP Lachaux… - Journal of neuroscience …, 2001‏ - Elsevier
The quantification of phase synchrony between neuronal signals is of crucial importance for
the study of large-scale interactions in the brain. Two methods have been used to date in …

Performance of different synchronization measures in real data: a case study on electroencephalographic signals

RQ Quiroga, A Kraskov, T Kreuz, P Grassberger - Physical review E, 2002‏ - APS
We study the synchronization between left and right hemisphere rat
electroencephalographic (EEG) channels by using various synchronization measures …