Frequency domain analysis of neurophysiological data
โ Scribed by A.S. French; A.V. Holden
- Publisher
- Elsevier Science
- Year
- 1971
- Weight
- 1014 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0010-468X
No coin nor oath required. For personal study only.
โฆ Synopsis
Six programs are described which constitute a Spectral Analysis Package for the Digital Equipment Corporation LAB-8 computer and a random access magnetic storage device. The programs allow a wide range of data processing to be carried out in the frequency domain on neurophysiological observation in the form of analog voltage or spike train signals. Transformations between the time and frequency domains are possible in either direction using the Fast Fourier Transform Algorithm. Commencing with two observed signals the programs permit the calculation of power spectral density, coherence, describing, auto and cross correlation functions as well as providing techniques for the averaging of successive calculations in order to improve spectral estimates. Mathematical manipulation is provided by modifications to the interpretive language FOCAL which permit powerful flexibility to operate on data in a variety of formats. All data is stored in files within the Disc Monitor System so that the programs may be used on a machine which is also serving other purposes.
๐ SIMILAR VOLUMES
We show the derivation of parameters in the frequency domain from time-domain data. Far-field characteristics are obtained by a convolution formula with the harmonic field amplitudes, which are obtained via a Fourier transform or by sampling. The electric field of filter ports is expanded into the d
A method is proposed for interpreting the behaviour of NARX neural networks. The correspondence between time-delay neural networks and Volterra series is extended to the NARX class of networks. The Volterra kernels, or rather, their Fourier transforms, are obtained via harmonic probing. In the same