One purpose of Computational Neuroscience is to try to understand by using
models how at least some parts in the brain work or how cognitive phenomena occur
and are organized in terms of neuronal activity. The Hopfield model of a neural
network, rooted in Statistical Physics, put forward by J. Hopfield in the 1980s, was
one of the first attempts to explain how associative memory could work. It was successful
in guiding experiments, e.g., in the hippocampus and primate inferotemporal
cortex. However, some higher level cognitive functions that the brain accomplishes
require, to be approached quantitaively, by more advanced models beyond simple
cued retrieval...
