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Diana 2024-10-25 18:10:57 +02:00
parent 79bb459da9
commit 2e2e79f5fe
1 changed files with 9 additions and 9 deletions
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18
code/useful_functions.py
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@ -248,23 +248,23 @@ def extract_stim_data(stimulus):
stim_freq = round(stimulus.metadata[stimulus.name]['Frequency'][0][0])
stim_dur = stimulus.duration
# calculates the amplitude modulation
amp_mod, ny_freq = AM(eodf, stim_freq)
_, ny_freq = AM(eodf, stim_freq)
amp_mod = find_AM(eodf, ny_freq, stim_freq)
return amplitude, df, eodf, stim_freq, stim_dur, amp_mod, ny_freq
def find_AM(frequency, eodf, nyquist, stimulus_frequency):
def find_AM(eodf, nyquist, stimulus_frequency):
t = signal.windows.triang(eodf) * nyquist
length_t2 = len(frequency) // eodf
length_t2 = int(length_t2)
length_t2 = int(eodf*10)
t2 = np.tile(t, length_t2)
x_values = np.arange(len(t2))
fig, ax = plt.subplots()
ax.plot(t2)
ax.scatter(stimulus_frequency, t2[np.argmin(np.abs(x_values - stimulus_frequency))])
plt.grid()
#fig, ax = plt.subplots()
#ax.plot(t2)
#ax.scatter(stimulus_frequency, t2[np.argmin(np.abs(x_values - stimulus_frequency))])
#plt.grid()
AM = t2[np.argmin(np.abs(x_values - stimulus_frequency))]
return fig, AM
return AM
def firing_rate(binary_spikes, dt = 0.000025, box_width = 0.01):
'''