-dt = 0.001 # Time step
-t_cue = 1.0 # Duration of cue presentation
-cue_scale = 1.0 # How strong the cuelus is from the visual system
-perceived = 0 # ???
-time_scale = 0.4
-steps = 100 # How fine to run the outer loop of the simulation
-noise_wm = 0.005 # Standard deviation of white noise added to workin memory
-noise_decision = 0.005 # Standard deviation of white noise added to decision
-neurons_decide = 100 # Number of neurons for decision
-neurons_inputs = 100 # Number of neurons for inputs ensemble
-neurons_wm = 100 # Number of neurons for working memory ensemble
-tau_wm = 0.1 # Synapse on recurrent connection in wm
-tau = 0.01 # Synaptic time constant between ensemblesA
-dt_sample = 0.01 # Timestep for data recording through probes
-t_delay = 8.0 # Duration of delay period between cue and decision
+dt = 0.001 # Time step
+t_cue = 1.0 # Duration of cue presentation
+cue_scale = 1.0 # How strong the cuelus is from the visual system
+perceived = 0 # ???
+time_scale = 0.4 # ???
+steps = 100 # How fine to run the outer loop of the simulation
+noise_wm = 0.005 # Standard deviation of white noise added to WM
+noise_decision = 0.005 # Standard deviation of white noise added to decision
+neurons_decide = 100 # Number of neurons for decision
+neurons_inputs = 100 # Number of neurons for inputs ensemble
+neurons_wm = 100 # Number of neurons for working memory ensemble
+tau_wm = 0.1 # Synapse on recurrent connection in wm
+tau = 0.01 # Synaptic time constant between ensembles
+dt_sample = 0.01 # Timestep for data recording through probes
+t_delay = 8.0 # Duration of delay period between cue and decision