Hopfield network (Deep Learning)

create a vector of connection weights from each of the 100
units in the Hopfield network converging onto a single leaky integrate-and-fire
neuron. Set the weights so that they are tuned to detect pattern #1 (hint: the weights
will be the same as the pattern itself). Adjust the bias and threshold on the LIF
neuron so that it acts as a “pattern #3 detector”, i.e. the LIF neuron will fire very fast
when pattern #3 is present on the Hopfield network, and slowly or not at all when
pattern #3 is not present. Show that the firing rate of the LIF neuron only starts to
increase when the Hopfield network starts to settle on pattern #3.