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src/h/e/Helmholtz-0.2.0/helmholtz/analysis/tools/examples/test_contrast_response.py Helmholtz(Download)
for spikelist in filtered_results[:MAX_COL]:
plot_spike_hist(filtered_fig, spikelist, with_variables=True)
filtered_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_filtered.png")
# merge, then f1f0_ratios
merged_results = Benchmarks.analysis.merge_trials(filtered_results, relative_times=False)
if display:
plot_spike_hist(merged_fig, merged_results, with_variables=True)
merged_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_merged.png")
panel = curve_fig.next_panel()
panel.plot1(xdata, ydata, 'bo', xfit, yfit, 'r-')
curve_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_curves.png")
pprint(fitting_result)
hist_fig = SimpleMultiplot(1, 1, xlabel="Exponent (n)", ylabel="Number of cells")
hist_fig.next_panel().plot(exponent_hist[1], exponent_hist[0])
hist_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_histogram.png")
# ==> Do the same stuff with the Component Framework ===
for spikelist in pipeline.filtered.potential[:MAX_COL]:
plot_spike_hist(filtered_fig, spikelist, with_variables=True)
filtered_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_filtered_component.png")
if display:
src/h/e/Helmholtz-0.2.0/helmholtz/analysis/tools/examples/component_generator.py Helmholtz(Download)
for spikelist in filtered_results[:MAX_COL]:
plot_spike_hist(filtered_fig, spikelist, with_variables=True)
filtered_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_filtered.png")
# merge, then f1f0_ratios
merged_results = Benchmarks.analysis.merge_trials(filtered_results, relative_times=False)
if display:
plot_spike_hist(merged_fig, merged_results, with_variables=True)
merged_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_merged.png")
panel = curve_fig.next_panel()
panel.plot1(xdata, ydata, 'bo', xfit, yfit, 'r-')
curve_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_curves.png")
pprint(fitting_result)
hist_fig = SimpleMultiplot(1, 1, xlabel="Exponent (n)", ylabel="Number of cells")
hist_fig.next_panel().plot(exponent_hist[1], exponent_hist[0])
hist_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_histogram.png")
# ==> Do the same stuff with the Component Framework ===
for spikelist in pipeline.filtered.potential[:MAX_COL]:
plot_spike_hist(filtered_fig, spikelist, with_variables=True)
filtered_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_contrast_response_filtered_component.png")
if display:
src/h/e/Helmholtz-0.2.0/helmholtz/analysis/tools/examples/test_f1f0.py Helmholtz(Download)
if display and i < MAX_COL:
plot_spike_hist(spike_fig, spike_list)
spike_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_f1f0_spikes.png")
i += 1
for spikelist in filtered_results[:MAX_COL]:
plot_spike_hist(filtered_fig, spikelist, with_variables=False)
filtered_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_f1f0_filtered.png")
i += 1
if display:
plot_spike_hist(merged_fig, merged_results, with_variables=False)
merged_fig.save("/home/thierry/Benchmarks_Project/benchmarks/Results/simpleV1/test_f1f0_merged.png")
f1f0_ratios = Benchmarks.analysis.f1f0_ratio(merged_results, bin_size, f_stim)