Restored the normal workflow in exp5.py.

This version is the main worjhorse leading up to the results in report3.

src/exp5.py

@@ -24,10 +24,10 @@
     print("usage: python exp5.py <run#>")
     exit()
 
-ino= int(sys.argv[1])
+ino= float(sys.argv[1])
 paras= std_paras()
 
-if ino == -1:
+if ino == -100:
     paras["lns_pns_g"]= 0
     paras["lns_lns_g"]= 0
 else:
@@ -78,7 +78,7 @@
 # Assume a uniform distribution of Hill coefficients inspired by Rospars'
 # work on receptors tiling the space of possible sigmoid responses
 
-hill_new= True
+hill_new= False
 
 if hill_new:
     hill_exp= np.random.uniform(0.5, 1.5, paras["n_glo"])
@@ -87,7 +87,7 @@
     hill_exp= np.load(paras["dirname"]+"/"+label+"_hill.npy")
 
 # Let's do a progression of broadening odours
-odor_new= True
+odor_new= False
 
 if odor_new:
     odors= None