def gen_input_to_output_proj(self, params=None):
pops = self._network['populations']
proj = sim.Projection(
pops['input'],
pops['output'],
sim.AllToAllConnector(),
sim.StaticSynapse(
weight=-5.0,
delay=0.1, # ms (equals timestep here)
#label='input to output',
#receptor_type='inhibitory'
))
return proj
n_neurons = 100
params = copy.copy(sim.IF_curr_exp.default_parameters)
pre = sim.Population(n_neurons, sim.SpikeSourceArray,
{'spike_times': [[1] for _ in range(n_neurons)]},
label='pre')
params['tau_syn_E'] = 5.
post = sim.Population(n_neurons, sim.IF_curr_exp, params,
label='post')
post.record('spikes')
dist_params = {'low': 0.0, 'high': 10.0}
dist = 'uniform'
rand_dist = RandomDistribution(dist, rng=rng, **dist_params)
var = 'weight'
on_device_init = bool(1)
conn = sim.AllToAllConnector()
syn = sim.StaticSynapse(weight=5./n_neurons, delay=1)#rand_dist)
proj = sim.Projection(pre, post, conn, synapse_type=syn, use_procedural=bool(0))
sim.run(2 * n_neurons)
data = post.get_data()
spikes = np.asarray(data.segments[0].spiketrains)
sim.end()
all_at_appr_time = 0
sum_spikes = 0
for i, times in enumerate(spikes):
sum_spikes += len(times)
if int(times[0]) == 9:
all_at_appr_time += 1
sim.SpikeSourceArray(**{'spike_times': pre_spike_times}))
tr2post = sim.Projection(trigger, post,
sim.OneToOneConnector(),
synapse_type=sim.StaticSynapse(weight=2.0),
receptor_type='excitatory', label='trigger connection')
tdep = __stdp__.MyTemporalDependence(**time_dep_vars)
wdep = __stdp__.MyWeightDependence(w_min=-max_w, w_max=max_w)
syn = __stdp__.MySTDPMechanism(
timing_dependence=tdep, weight_dependence=wdep,
weight=start_w, delay=delay,
)
pre2post = sim.Projection(pre, post,
sim.AllToAllConnector(), synapse_type=syn,
receptor_type='excitatory', label='plastic connection')
projs[dt] = pre2post
pprojs[delay] = projs
sim.run(sim_time)
experiments = {}
for delay in pprojs:
dt_dw = {}
for dt in pprojs[delay]:
dt_dw[dt] = (pprojs[delay][dt].getWeights(format='array')[0,0] - start_w)# / max_w
experiments[delay] = dt_dw
sim.end()
receptor_type='excitatory',
label='exc_proj_shunt',
)
eProjBoth = sim.Projection(
preExc,
postBoth,
sim.OneToOneConnector(),
sim.StaticSynapse(weight=2.),
receptor_type='excitatory',
label='exc_proj_both',
)
iProj = sim.Projection(
postStd,
postStd,
sim.AllToAllConnector(),
sim.StaticSynapse(weight=-5.0, delay=timestep),
receptor_type='inhibitory',
label='inh_proj',
)
sProj = sim.Projection(
postShunt,
postShunt,
sim.AllToAllConnector(),
sim.StaticSynapse(weight=-5.0, delay=timestep),
receptor_type='inhShunt',
label='shunt_proj',
)
sProjB = sim.Projection(