Debugging with 100 recall iterations.

Experiments_4_x.py

@@ -44,7 +44,7 @@ def training_and_recall_hpc_helper(hpc, training_set_size, train_set_num, origin
     print "Recalling patterns for 300 time-steps by chaotic recall..."
     t2 = time.time()
     [patterns_extracted_for_current_set, random_in] = \
-        hpc_chaotic_recall_wrapper(hpc, display_images_of_stable_output=False, recall_iterations=300)
+        hpc_chaotic_recall_wrapper(hpc, display_images_of_stable_output=False, recall_iterations=100)
     for pat in patterns_extracted_for_current_set:
         if not set_contains_pattern(hippocampal_chaotic_recall_patterns, pat):
             hippocampal_chaotic_recall_patterns.append(pat)  # append unique pattern