Models of neural networks I

Abstract

2nd updated ed. Provides an in-depth analysis of both paradigms starting with an introduction to the ideas used in the subsequent chapters. In this book, one finds a discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory computations in the visual and olfactory cortex. v. 2: Temporal aspects of coding and information processing in biological systems; v. 3: Association, generalization, and representation.