human
I am working on the file "SYDE 556 Lecture 9 Action Selection.ipynb".
The first task is:
Oops, that's not quite right
Why is it selecting more than one action?
Can you write Python code for it?

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What is a the Python code you requested?
assistant
#Here is the Python code you requested.

import nengo

model = nengo.Network('Selection')

with model:
    stim = nengo.Node(lambda t: [.5,.4] if t <1. else [0,0] )
        
    s = nengo.Ensemble(200, dimensions=2)
    Qs = nengo.networks.EnsembleArray(50, n_ensembles=4)
    Action = nengo.networks.EnsembleArray(50, n_ensembles=4)
    
    nengo.Connection(s, Qs.input, transform=[[1,0],[-1,0],[0,1],[0,-1]])
    nengo.Connection(Qs.output, Action.input)
    
    e = 0.1
    i = -1

    recur = [[e, i, i, i], [i, e, i, i], [i, i, e, i], [i, i, i, e]]    

    # Let's force the feedback connection to only consider positive values
    def positive(x):
        if x[0]<0: return [0]
        else: return x
    pos = Action.add_output('positive', positive)
    
    nengo.Connection(pos, Action.input, transform=recur)
    nengo.Connection(stim, s)
    
    model.config[nengo.Probe].synapse = nengo.Lowpass(0.01)
    qs_p = nengo.Probe(Qs.output)
    action_p = nengo.Probe(Action.output)
    s_p = nengo.Probe(s)
    
sim = nengo.Simulator(model)
sim.run(1.)

t = sim.trange()

plot(t, sim.data[s_p], label="state")
legend(loc='best')

figure()
plot(t, sim.data[qs_p], label='Qs')
legend(loc='best')

figure()
plot(t, sim.data[action_p], label='Action')
legend(loc='best');