Models of Neural Networks I

This work aims to address the requirement for coverage of this multidisciplinary and rapidly changing field of research. It begins with an introduction to the central theme of the book, collective phenomena in neural networks, which is applied in subsequent chapters to the specific areas of dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software) and structural nets (hardware). This textbook on physics, computer science, artificial neuroscience, psychology, cognitive science and applied mathematics is intended for graduate students and researchers.