added simple CNN notebook

RGC_simulations/MEI.py

@@ -431,7 +431,7 @@ def MEI_multi_seed(dataset_name, dat, dataloaders, models, n_seeds, MEIParameter
     
     return MEI
 
-def multi_MEI_class():
+class multi_MEI_class:
     """
     dataset_name        : string    # string with dataset_name of dataset used for training
     dat                 : object    # fileTreeDataset object with data schema of data
@@ -468,17 +468,16 @@ def multi_MEI_class():
         self.dataset_name = dataset_name
         self.dat = dat
         self.dataloaders = dataloaders
-        sel.models = models
-        self.models_name = nameof(models)
+        self.models = models
         self.n_seeds = n_seeds
         self.MEIParameter = MEIParameter
-        self.MEIProperties = []
+        self.MEIProperties = {}
 
     def generate(self, neuron_id, track = False):
         print('Working on neuron_id={}'.format(neuron_id))
 
         # get input statistics
-        dataset, img_shape, bias, mu_beh, mu_eye, scale = prepare_data(dataloaders=self.dataloaders,dataset_name=self.dataset_name,dat=self.dat)
+        dataset, img_shape, bias, mu_beh, mu_eye, scale = prepare_data(dataloaders = self.dataloaders, dataset_name = self.dataset_name, dat = self.dat)
         print('Working with images with mu={}, sigma={}'.format(bias, scale))
 
         # get n instances of model for target unit
@@ -525,9 +524,7 @@ def multi_MEI_class():
 
         cont, vals, lim_contrast = contrast_tuning(adj_model, mei, bias, scale)
 
-        MEI = {
-        'neuron_id' : neuron_id,
-        'n_seeds' : self.n_seeds,
+        MEI = {'n_seeds' : self.n_seeds,
         'mei' : mei,     
         'activation'   : activation,       
         'monotonic' : bool(np.all(np.diff(vals) >= 0)),    
@@ -538,6 +535,6 @@ def multi_MEI_class():
         'lim_contrast' : lim_contrast,
         }
 
-        self.MEIProperties.append(MEI) 
+        self.MEIProperties['neuron_id : '+str(neuron_id)] = MEI
         
         return MEI['mei']
\ No newline at end of file

RGC_simulations/MEI_param_tuning.ipynb

@@ -6848,7 +6848,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

RGC_simulations/Model_param_tuning.ipynb

@@ -58666,7 +58666,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,

RGC_simulations/example_notebook_RGC_sim_checkerboard.ipynb

@@ -2769,7 +2769,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,