Disturbances in neuroplasticity are associated with many psychiatric and neurological disorders. Noninvasive electroencephalography (EEG) recordings of visually evoked potentials (VEPs) are promising ...

Abstract: For their analysis with conventional signal processing tools, non-stationary signals are assumed to be stationary (or at least wide-sense stationary) in short intervals. While this approach ...

Using electrophysiological recordings in freely moving rats, this valuable study investigates the role of different gamma frequency bands in the development of spatial representations in the ...

RF signals historically are measured using spectrum analyzers, at least that was before oscilloscopes offered sufficient bandwidth for those measurements. With oscilloscope bandwidths over 100 GHz, RF ...

The authors use human intracranial recordings to investigate the relationship between the power of brain oscillations and the latency and strength of cortico-cortical couplings. In the current version ...

The Temporal Modulation Spectrum Toolbox is a Matlab toolbox designed for the computation of amplitude and f0 modulation spectra and spectrograms. This versatile toolbox has been developed as part of ...

This GitHub repository contains a ready-to-use implementation of a behavioral model for Light Emitting Diode (LED) nonlinearity in MATLAB. The model is based on two filters and was detailed in the ...

Amplitude modulated transcranial alternating current stimulation (AM-tACS) is a novel method of electrostimulation which enables the recording of electrophysiological signals during stimulation, ...

Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single ...

Download this article in PDF format. We also want to recognize Rick Gentile of MathWorks as a co-author of this article. Modulation identification is an important function for an intelligent receiver.

There is increasing interest in understanding how the phase and amplitude of distinct neural oscillations might interact to support dynamic communication within the brain. In particular, previous work ...