X-Git-Url: https://git.armaanb.net/?p=norepinephrine_wm.git;a=blobdiff_plain;f=conf.py;h=557d729772661b2c61cbf04a15578543e7350ecf;hp=a3b0603d36b0bc43a6ae0551920a79676a39b3dd;hb=HEAD;hpb=f9d584b124112beef1ffc800c38a2d03de6911cc

diff --git a/conf.py b/conf.py
index a3b0603..557d729 100644
--- a/conf.py
+++ b/conf.py
@@ -1,15 +1,19 @@
-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
+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
+misperceive = 0.1      # ???
+time_scale = 0.4       # ???
+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_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
+seed = 1               # Seed for RNG
+n_trials = 1