Probabilistic Inference in Neural Networks

Abstract

Throughout the previous chapter, we have discussed several models that have been specifically inspired by the architecture of the cortex. These models have been constructed in a bottom-up fashion: given a raw connectivity map, as suggested by electrophysiological and neuroanatomic experimental results, one superimposes a finer architectural granularity in order to enable a desired spectrum of dynamics and/or functionality.