Updated nest example and test case with better parameters for time resolution, refractory period, delay and threshold.

Author: rbodo

examples/mnist_keras_nest.py

@@ -99,6 +99,8 @@
 # SNN TOOLBOX CONFIGURATION #
 #############################
 
+dt = 0.1  # Time resolution of simulator.
+
 # Create a config file with experimental setup for SNN Toolbox.
 configparser = import_configparser()
 config = configparser.ConfigParser()
@@ -119,12 +121,14 @@
     'duration': 50,                 # Number of time steps to run each sample.
     'num_to_test': 5,               # How many test samples to run.
     'batch_size': 1,                # Batch size for simulation.
-    'dt': 0.1  # Time resolution for ODE solving.
+    'dt': dt                        # Time resolution for ODE solving.
 }
 
 config['cell'] = {
-    'tau_refrac': 0.1               # Refractory period must be at least one
-                                    # time step.
+    'tau_refrac': dt,               # Refractory period and delay must be at
+    'delay': dt,                    # least one time step.
+    'v_thresh': 0.01                # Reducing default value (1) for higher
+                                    # spikerates.
 }
 
 config['output'] = {

tests/core/test_models.py

@@ -173,12 +173,16 @@ def test_nest(self, _model_1, _config):
 
         updates = {
             'tools': {'evaluate_ann': False},
-            'input': {'poisson_input': True},
             'simulation': {
                 'simulator': 'nest',
-                'duration': 100,
-                'num_to_test': 100,
-                'batch_size': 1},
+                'duration': 50,
+                'num_to_test': 10,
+                'batch_size': 1,
+                'dt': 0.1},
+            'cell': {
+                'tau_refrac': 0.1,
+                'delay': 0.1,
+                'v_thresh': 0.01},
             'output': {
                 'log_vars': {'activations_n_b_l', 'spiketrains_n_b_l_t'}}}