A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering...

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models involve discontinuities, which are natural...

 Attention deficit hyperactivity disorder (ADHD) is a common neurobehavioral disorder affecting 5–10% of children and adolescents and 3% of adults. Attention Deficit Hyperactivity Disorder: From Genes to Patients aims to provide a comprehensive, state-of-the-art overview of the critical aspects of ADHD, and hopefully will serve as...

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will...

This volume contains eight papers written by Adam Brandenburger and his co-authors over a period of 25 years. These papers are part of a program to reconstruct game theory in order to make how players reason about a game a central feature of the theory. The program now called epistemic game theory extends the classical definition of a game...

This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining.  The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by...

Pheromones and other kinds of chemical communication underlie the behavior of all animals. Building on the strengths of the first edition, widely recognized as the leading text in the subject, this is a comprehensive overview of how pheromones work. Extensively revised and expanded to cover advances made over the last ten years, the book...

Recent scientific studies have brought significant advances in the understanding of basic mental functions such as memory, dreams, identification, repression, which constitute the basis of the psychoanalytical theory. This book focuses on the possibility of interactions between psychoanalysis and neuroscience: emotions and the right...