I am trying to recreate the following results:
from the following data:
the time is in milliseconds (frequency is 40000 Hz)
The article state that they used Complex Morlet wavelet to create the
" Power estimates from the averaged LFPs were calculated from
time–frequency spectrograms of the data from 1–88 Hz by convolving the
signals with a complex Morlet wavelet of the form
w(t,f0 ) = Aexp(−t^2 / 2*σ^2 )exp(2*i*π*f0*t)
for each frequency of interest f0, where σ = m/2πf0, and i is the
imaginary unit. The normalization
factor was A = 1 /(σ (2π)^0.5 ), and the constant m defining the
compromise between time and frequency resolution was 7.
I only managed to get some "good" results using spectrogram function in
But I dont have much idea of how to use the morlet complex wavelet.
I got bad result when trying to use cwt with 'morl' window
I'm trying to recreate this article:
Computational modeling of distinct neocortical oscillations driven by
cell-type selective optogenetic drive: separable resonant circuits
controlled by low-threshold spiking and fast-spiking interneurons.
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