def __init__(self):
# ia_aff = AfferentFiber(muscle=Muscle.EXTENS, afferent=Afferent.IA)
try:
type(ia_aff)
except NameError:
ia_aff = create(60)
Connect(pre=add_multimeter('afferent'), post=ia_aff)
period = round(1000. / Params.RATE.value, 1)
ees = Create(
model='spike_generator',
params={
'spike_times':
[10. + i * period for i in range(Params.NUM_SPIKES.value)],
'spike_weights':
[300. for i in range(Params.NUM_SPIKES.value)]
})
Connect(pre=ees,
post=ia_aff,
syn_spec={
'model': 'static_synapse',
'weight': 1.,
'delay': .1
},
conn_spec={
'rule': 'fixed_outdegree',
'outdegree': 60,
'multapses': False,
'autapses': False
})
moto = create(n=169)
Connect(pre=add_multimeter('moto'), post=moto)
ia_int = create(n=196)
Connect(pre=add_multimeter('ia_int'), post=ia_int)
rc = create(196)
Connect(add_multimeter('rc'), post=rc)
level2 = Level2()
for i in range(Params.NUM_SUBLEVELS.value):
connect(pre=level2.sublayers[i].general_left,
post=moto,
weight=15.,
degree=100)
# connect(ia_aff.neuron_ids, level2.sublayers[0].general_right, 20., 20, 3.)
# connect(ia_aff.neuron_ids, moto, 7., 196)
# connect(ia_aff.neuron_ids, ia_int, 3., 196)
connect(ia_aff, level2.sublayers[0].general_right, 30., 20, 3.)
connect(ia_aff, moto, 7., 196)
connect(ia_aff, ia_int, 3., 196)
connect(moto, rc, 7., 100)
connect(rc, moto, -7., 100)
connect(ia_int, moto, -7., 100)
def __init__(self, dummy_sensory_receptor: DummySensoryReceptor):
self.name = 'dummy_sensory'
self.neuron_ids = nest.Create(model='hh_cond_exp_traub',
n=60,
params={
't_ref': 2.,
'V_m': -70.0,
'E_L': -70.0,
'g_L': 100.0,
'tau_syn_ex': .2,
'tau_syn_in': .5
})
self.receptor = dummy_sensory_receptor
nest.Connect(pre=self.receptor.receptor_id,
post=self.neuron_ids,
syn_spec={
'model': 'static_synapse',
'delay': .1,
'weight': 0.
},
conn_spec={
'rule': 'fixed_outdegree',
'outdegree': 20,
'multapses': False
})
nest.Connect(pre=add_multimeter(self.name), post=self.neuron_ids)
def __init__(self, index: int):
self.general_right = create(40)
self.general_left = create(40)
self.hidden_right = create(40)
self.hidden_left = create(40)
self.inh = create(40)
connect(pre=self.general_right,
post=self.general_left,
weight=12.,
degree=40)
connect(pre=self.hidden_right,
post=self.hidden_left,
weight=17.,
degree=40)
connect(pre=self.hidden_left,
post=self.hidden_right,
weight=17.,
degree=40)
connect(pre=self.general_right,
post=self.hidden_right,
weight=10.,
degree=40)
connect(pre=self.hidden_left, post=self.inh, weight=16., degree=40)
connect(pre=self.inh,
post=self.general_left,
weight=-13. * Params.INH_COEF.value,
degree=80)
Connect(pre=add_multimeter('general_right{}'.format(index)),
post=self.general_right)
Connect(pre=add_multimeter('general_left{}'.format(index)),
post=self.general_left)
Connect(pre=add_multimeter('hidden_right{}'.format(index)),
post=self.hidden_right)
Connect(pre=add_multimeter('hidden_left{}'.format(index)),
post=self.hidden_left)
Connect(pre=add_multimeter('inh{}'.format(index)), post=self.inh)
def __init__(self, muscle: Muscle, afferent: Afferent):
self.name = 'afferent_{}_fiber_{}'.format(muscle.value, afferent.value)
self.muscle = muscle
self.afferent = afferent
self.neuron_ids = nest.Create(model='hh_cond_exp_traub',
n=60,
params={
't_ref': 2.,
'V_m': -70.0,
'E_L': -70.0,
'g_L': 100.0,
'tau_syn_ex': .2,
'tau_syn_in': .5
})
self.receptor = Receptor(muscle=muscle, afferent=afferent)
nest.Connect(pre=self.receptor.receptor_ids,
post=self.neuron_ids,
syn_spec={
'model': 'static_synapse',
'delay': .1,
'weight': 500.
},
conn_spec={'rule': 'one_to_one'})
nest.Connect(pre=add_multimeter(self.name), post=self.neuron_ids)
def create_with_mmeter(n: int, name: str):
gids = create(n)
Connect(pre=add_multimeter(name), post=gids)
return gids
