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python/save_thresholds.py

@@ -1,4 +1,5 @@
 import numpy as np
+import matplotlib.pyplot as plt
 from thunderhopper.filters import sosfilter
 from thunderhopper.model import convolve_kernels, process_signal
 from thunderhopper.modeltools import load_data
@@ -54,7 +55,12 @@ elif mode == 'short':
     conv = convolve_kernels(inv, config['kernels'], config['k_specs'])
 elif mode == 'field':
     starter = starter[:, channels].ravel(order='F')
-    conv = process_signal(config, 'conv', signal=starter, rate=config['rate'])[0]['conv']
+    conv = process_signal(config, 'conv', signal=starter, rate=config['rate'])[0]['conv']    
+    # fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
+    # ax1.plot(starter)
+    # ax2.plot(conv)
+    # plt.show()
+    # embed()
 
 # Get baseline kernel response SDs:
 sds = conv[segment, :].std(axis=0)