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Model of MT using BCPNN to self-organize
for the moment inhibitory population covers only 1 speed while in excitatory population we have 4 speed. it probably means that there is no correct inhibition o excitatory cells tuned for speeds far from that specific speed....
runnning on the cluster, I have:
Loading parameters from ResultsBar_ptow7.00e-05_odAIII//Parameters/simulation_parameters.json
Traceback (most recent call last):
File "plot_rasterplots.py", line 146, in <module>
fig = pylab.figure()#figsize=(14, 12))
File "/usr/lib/pymodules/python2.6/matplotlib/pyplot.py", line 343, in figure
**kwargs)
File "/usr/lib/pymodules/python2.6/matplotlib/backends/backend_tkagg.py", line 80, in new_figure_manager
window = Tk.Tk()
File "/usr/lib/python2.6/lib-tk/Tkinter.py", line 1646, in __init__
self.tk = _tkinter.create(screenName, baseName, className, interactive, wantobjects, useTk, sync, use)
_tkinter.TclError: no display name and no $DISPLAY environment variable
could we get things to load the agg backend by default?
(or as a parameter)
I label it as bug for the moment as it stops the simulation ๐ฑ
laurent
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