import nxsdk.net.net
from dft_loihi.visualization.plotting import Plotter
from dft_loihi.dft.field import Field
from dft_loihi.dft.kernel import SelectiveKernel
from dft_loihi.inputs.simulated_input import GaussPiecewiseStaticInput
from dft_loihi.dft.util import connect
# set up the network
net = nxsdk.net.net.NxNet()
field_domain = [-5, 5]
field_shape = 15
gauss_input1 = GaussPiecewiseStaticInput("input 1", net, domain=field_domain, shape=field_shape)
gauss_input1.add_spike_rate(0, -2.5, 1.5, 100)
gauss_input1.add_spike_rate(800, -2.5, 1.5, 100)
gauss_input1.add_spike_rate(11200, -2.5, 1.5, 100)
gauss_input1.add_spike_rate(800, -2.5, 1.5, 100)
gauss_input1.add_spike_rate(0, -2.5, 1.5, 100)
gauss_input1.create()
gauss_input2 = GaussPiecewiseStaticInput("input 2", net, domain=field_domain, shape=field_shape)
gauss_input2.add_spike_rate(0, 2.5, 1.5, 100)
gauss_input2.add_spike_rate(800, 2.5, 1.5, 100)
gauss_input2.add_spike_rate(11200, 2.5, 1.5, 100)
gauss_input2.add_spike_rate(800, 2.5, 1.5, 100)
gauss_input2.add_spike_rate(0, 2.5, 1.5, 100)
gauss_input2.create()
homogeneous_input.add_spike_rate(0, 100)
homogeneous_input.create()
node = Node("node",
net,
number_of_neurons=neurons_per_node,
tau_voltage=2,
tau_current=10,
self_excitation=0.08)
connect(homogeneous_input, node, 0.5, mask="one-to-one")
field_domain = [-5, 5]
field_shape = 15
gauss_input = GaussPiecewiseStaticInput("input to field",
net,
domain=field_domain,
shape=field_shape)
gauss_input.add_spike_rate(0, 2.5, 1.5, 100)
gauss_input.add_spike_rate(800, 2.5, 1.5, 300)
gauss_input.add_spike_rate(0, 2.5, 1.5, 100)
gauss_input.create()
kernel = MultiPeakKernel(amp_exc=0.47,
width_exc=2.5,
amp_inh=-0.35,
width_inh=3.85,
border_type="zeros")
field = Field("field",
net,
domain=field_domain,