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Uniform Prior Rand N Bins Stimulus Generation

This is a stimulus generation class in which the number of tonotopic bins is randomly decided from a value in n_bins_range then filled according to the UniformPrior method but where min_bins = 1 and max_bins = n_bins.

Unique Properties

This stimulus generation class has one property in addition to those inhereted from the Abstract and Abstract Binned classes. Default:

- n_bins_range = 2.^(2:7) % Possible values for n_bins to be randomly assigned

generate_stimuli_matrix

[stimuli_matrix, Fs, spect_matrix, binned_repr_matrix] = generate_stimuli_matrix(self)

Unique function for UniformPriorRandomNBinsStimulusGeneration Since self.n_bins is changed at each generate_stimulus() call, this function pads the matrix with NaN values. Generates a matrix of stimuli. Explicitly calls the generate_stimulus() class method.

OUTPUTS:

  • stimuli_matrix: n x self.n_trials numerical vector, the stimulus waveform, where n is self.nfft + 1.

  • Fs: 1x1 numerical scalar, the sample rate in Hz.

  • spect_matrix: m x self.n_trials numerical vector, the half-spectrum, where m is self.nfft / 2, in dB.

  • binned_repr_matrix: self.n_bins x self.n_trials numerical vector, the binned representation.

See Also

generate_stimulus

[stim, Fs, spect, binned_repr, frequency_vector] = generate_stimulus(self)
Generates a stimulus vector by randomly assigning self.n_bins and filling the spectrum as in UniformPriorStimulusGeneration, where self.min_bins = 1 and self.max_bins = self.n_bins.

OUTPUTS:

stim: self.nfft + 1 x 1 numerical vector, the stimulus waveform,

Fs: 1x1 numerical scalar, the sample rate in Hz.

spect: self.nfft / 2 x 1 numerical vector, the half-spectrum, in dB.

binned_repr: self.n_bins x 1 numerical vector, the binned representation.

frequency_vector: self.nfft / 2 x 1 numerical vector, the frequencies associated with the spectrum, in Hz.

Class Properties Used: 

- n_bins
- n_bins_range
- unfilled_dB
- filled_dB

See Also