-dt = 0.001 # Time step
+import numpy as np
+
+dt = 0.05 # Time step
+probe_dt = 0.1 # Time step to sample from probe
t_cue = 1.0 # Duration of cue presentation
+t_delay = 8.0 # Duration of delay period between cue and decision
cue_scale = 1.0 # How strong the cuelus is from the visual system
-perceived = 0 # ???
+misperceive = 0.1 # ???
time_scale = 0.4 # ???
-steps = 100 # How fine to run the outer loop of the simulation
+steps = np.linspace(0, 750, 250) # Steps to use
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_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
+seed = 1 # Seed for RNG
+n_trials = 1