#model.answer = spa.State(D, vocab=vocab_concepts,feedback=1,feedback_synapse=.05) # /for count feedback=.8
#set the inputs to the model (bypassing the need for a visual system)
#model.input = spa.Input(goal=goal_func, target=target_func, arg1=arg1_func, arg2=arg2_func)
#from count model
model.input = spa.Input(vision=vision_input_func,goal=goal_input_func)
#Number memory
model.number_memory = assoc_mem_acc.AssociativeMemoryAccumulator(input_vocab = vocab_numbers, wta_output=True, status_scale=.7,threshold=.1,status_feedback=.3)
#Alphabet memory
model.letter_memory = assoc_mem_acc.AssociativeMemoryAccumulator(input_vocab = vocab_letters, wta_output=True, status_scale=.7,threshold=.2,status_feedback=.3)
#Comparison
model.comparison = compare_acc_zbrodoff.CompareAccumulator(vocab_compare = vocab_concepts,status_scale = .4,status_feedback = .2, status_feedback_synapse=.05, threshold_cleanup=.1)
#final Comparison
model.comparison2 = compare_acc_zbrodoff.CompareAccumulator(vocab_compare = vocab_concepts,status_scale = .6,status_feedback = .2, status_feedback_synapse=.05, threshold_cleanup=.1)
#Motor
model.motor = spa.State(Dlow,vocab=vocab_motor,feedback=1) #motor state
#bcm_model
model.in_layer = spa.State(D,vocab=vocab_problems,seed=1)
model.correct = spa.State(D, vocab=vocab_problems,seed=1)
model.stoplearn = nengo.Node(0,size_out=1)
#model.stim = spa.Input(in_layer=input_func,correct=input_func)
#set the inputs to the model (bypassing the need for a visual system)
model.input = spa.Input(goal=goal_func,
target=target_func,
arg1=arg1_func,
arg2=arg2_func)
#Declarative Memory
model.declarative = assoc_mem_acc.AssociativeMemoryAccumulator(
input_vocab=vocab_problems,
wta_output=True,
wta_inhibit_scale=10,
threshold=.5)
#Comparison
model.comparison = compare_acc_zbrodoff.CompareAccumulator(
vocab_compare=vocab_concepts, status_scale=.6, status_feedback=.6)
#Motor
model.motor = spa.State(dimensions=Dlow, vocab=vocab_motor)
#Basal Ganglia & Thalamus
actions = spa.Actions(
#encode and retrieve
a_retrieve=
'dot(goal,START) - declarative_status -.2 --> goal=START+RETRIEVE, declarative=ITEM1*arg1 + ITEM2*arg2',
#a_retrieve= goal equals START, - retrieval status - .2 --> switch goal to retrieve, declare current problem as arg1 + arg2
b_answer_retrieved=
'dot(goal,RETRIEVE) + declarative_status - .3 --> goal=(.8*RETRIEVE)+COMPARE, answer=4*~RESULT*declarative',
# b_answer_retrieved= if goal =retrieve - retrieval status - .3 --> switch goal to COMPARE, retrieve answer corresponding to current problem