Precise and reproducible spike timing is one of the alternatives of the sensory stimulus encoding. We test coherence (repeatability) of the response patterns elicited in projecting gracile neurons by tactile stimulation and its modulation provoked by electrical stimulation of the corticofugal feedback from the somatosensory (SI) cortex. To gain the temporal structure we adopt the wavelet-based ...

Characterizing brain connectivity between neural signals is key to understanding brain function. Current measures such as coherence heavily rely on Fourier or wavelet transform, which inevitably assume the signal stationarity and place severe limits on its time-frequency resolution. Here we addressed these issues by introducing a noise-assisted instantaneous coherence (NAIC) measure based on mu...

This study explores whether Islamic equities offer portfolio diversification benefits to cryptocurrency investors. It employs the Continuous Wavelet Transform model examine nature of coherence between major asset classes and Asian equity markets on different investment horizons. We consider a range indices for multiple countries basket three prominent cryptocurrencies: Bitcoin, Ethereum Ripple....

We demonstrate that event-related coherence in the human EEG, computed using a short-time Fourier wavelet decomposition, shows multiple synchronization frequencies with abrupt event-related jumps in coherence frequency and, less frequently, in synchronization lag. Previous studies of EEG coherence have suffered from confounds arising from the large projection areas for all but the most superfic...

This study examines the time and frequency dependency nexus between foreign exchange (FX) rates country risk in Turkey. We considered Turkey because it is a negative outlier terms of progress these indicators. Using quarterly data from 1990/Q1 to 2018/Q4 Wavelet Coherence approach, we find that an increase causes FX at different frequencies, especially medium long term periods. The results high...

The real world phenomena being observed by sensors are generally non-stationary in nature. The classical linear techniques for analysis and modeling natural time-series observations are inefficient and should be replaced by non-linear techniques of whose theoretical aspects and performances are varied. In this manner adopting the most appropriate technique and strategy is essential in evaluatin...

The wavelet transform technique is used to detect intermittent linear and higher order correlation between pairs of correlated random signals. The statistical relevance of the resulting time dependent coherence and bicoherence are analyzed in light of the inherent noise in estimates. The presence of intermittent correlation is delineated from uncorrelated regions through the use of reference ma...

UNLABELLED BACKGROUND Autism Spectrum Conditions (ASC) are a set of pervasive neurodevelopmental conditions characterized by a wide range of lifelong signs and symptoms. Recent explanatory models of autism propose abnormal neural connectivity and are supported by studies showing decreased interhemispheric coherence in individuals with ASC. The first aim of this study was to test the hypothes...

The main objective of this course is to conduct a study on wavelet theory from both theoretical and application perspective (such as signal compression, denoising, communication systems, and recognition) in a coherence manner. The course first builds up background on LTI operators and Fourier analysis (including Shannon’s sampling theory) and its short comings. Windowed Fourier Transform (WFT) ...

Soil moisture is an important variable affecting land surface and climate interactions. This study used cross-wavelet wavelet coherence methods to analyze the relationship between soil climatic factors in area based on data sequence corresponding meteorological observed of desert steppe Inner Mongolia. The results showed that had a relatively high- or low-value period for months even years. was...