Ising model and neural networks

Another kind of systems that can be described in terms of the Ising model are neural networks: in this case every site of the lattice represents a neuron and the interaction bonds are synapses; the two possible states of the neurons are "firing" (i.e. transmitting an electric pulse) when ${\displaystyle S_{i}=+1}$ and "not firing" when ${\displaystyle S_{i}=-1}$. In this case, however, the system is dynamic and not static so the situation is much more complicated, and the tools we are developing are not really useful in order to understand something interesting about the system.