benda/nonlinearbaseline2025
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cleaned up for new data

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This commit is contained in:
Jan Benda
2025-05-24 23:23:38 +02:00
parent df3ec149fb
commit 223ad8bd4b
410 changed files with 692 additions and 716 deletions
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10
modelsusceptcontrasts.py
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@@ -3,7 +3,7 @@ import matplotlib.pyplot as plt
from scipy.stats import pearsonr, linregress, gaussian_kde
from thunderlab.tabledata import TableData
from pathlib import Path
from spectral import whitenoise, diag_projection, peakedness
from spectral import whitenoise, diag_projection, peak_size
from plotstyle import plot_style, labels_params, significance_str
@@ -66,8 +66,8 @@ def plot_chi2(ax, s, data_file, rate):
ax.set_xlabel('$f_1$', 'Hz')
ax.set_ylabel('$f_2$', 'Hz')
dfreqs, diag = diag_projection(freqs, chi2, 2*fcutoff)
nli, nlif = peakedness(dfreqs, diag, rate, median=False)
ax.text(0.95, 0.88, f'SI($r$)={nli:.1f}', ha='right', zorder=50,
sinorm, sirel, sif = peak_size(dfreqs, diag, rate, median=False)
ax.text(0.95, 0.88, f'SI($r$)={sinorm:.1f}', ha='right', zorder=50,
color='white', fontsize='medium', transform=ax.transAxes)
cax = ax.inset_axes([1.04, 0, 0.05, 1])
cax.set_spines_outward('lrbt', 0)
@@ -95,7 +95,7 @@ def plot_chi2_contrasts(axs, s, cell_name):
plot_chi2(axs[k + 1], s, files[-1], rate)
def plot_nli_cv(ax, s, data, alpha, cells):
def plot_si_cv(ax, s, data, alpha, cells):
data = data[data['contrast'] == alpha, :]
r, p = pearsonr(data['cvbase'], data['dnli'])
l = linregress(data['cvbase'], data['dnli'])
@@ -151,7 +151,7 @@ def plot_nli_cv(ax, s, data, alpha, cells):
def plot_summary_contrasts(axs, s, cells):
nli_thresh = 1.2
data = TableData(data_path / 'Apteronotus_leptorhynchus-Punit-models.csv')
plot_nli_cv(axs[0], s, data, 0, cells)
plot_si_cv(axs[0], s, data, 0, cells)
print('noise split:')
cdata = data[data['contrast'] == 0, :]
nli_split = cdata['dnli']