I am trying to recreate the following results:

http://i.stack.imgur.com/muMxX.jpg

from the following data:

https://www.dropbox.com/s/mi3szqgzgku29rn/FS40.dat

the time is in milliseconds (frequency is 40000 Hz)

The article state that they used Complex Morlet wavelet to create the
spectrogram:

" 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
matlab.

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

Thank You.

P.S.

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.