Skip navigation

Cognition, Brain, & Behavior

  • Page 2 of 8

This introduction to the interdisciplinary study of cognition takes the novel approach of bringing several disciplines to bear on the subject of communication.

Introduction to Cognitive Science

Cognitive science approaches the study of mind and intelligence from an interdisciplinary perspective, working at the intersection of philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. With Mind, Paul Thagard offers an introduction to this interdisciplinary field for readers who come to the subject with very different backgrounds. It is suitable for classroom use by students with interests ranging from computer science and engineering to psychology and philosophy.

Edited by York Gunther

According to the widespread conceptualist view, all mental contents are governed by concepts an individual possesses. In recent years, however, an increasing number of philosophers have argued for the indispensability of nonconceptual content based on perceptual, emotional, and qualitative experiences; informational and computational states; memory; and practical knowledge. Writers from disciplines as varied as the philosophy of mind, cognitive science, artificial intelligence, epistemology, linguistics, religious psychology, and aesthetics have challenged conceptualism.

Studies in Neurophilosophy

Progress in the neurosciences is profoundly changing our conception of ourselves. Contrary to time-honored intuition, the mind turns out to be a complex of brain functions. And contrary to the wishful thinking of some philosophers, there is no stemming the revolutionary impact that brain research will have on our understanding of how the mind works.

Computation, Representation, and Dynamics in Neurobiological Systems

For years, researchers have used the theoretical tools of engineering to understand neural systems, but much of this work has been conducted in relative isolation. In Neural Engineering, Chris Eliasmith and Charles Anderson provide a synthesis of the disparate approaches current in computational neuroscience, incorporating ideas from neural coding, neural computation, physiology, communications theory, control theory, dynamics, and probability theory. This synthesis, they argue, enables novel theoretical and practical insights into the functioning of neural systems.

Selected Readings in the Philosophy of Perception
Edited by Alva Nöe and Evan Thompson

The philosophy of perception is a microcosm of the metaphysics of mind. Its central problems—What is perception? What is the nature of perceptual consciousness? How can one fit an account of perceptual experience into a broader account of the nature of the mind and the world?—are at the heart of metaphysics. Rather than try to cover all of the many strands in the philosophy of perception, this book focuses on a particular orthodoxy about the nature of visual perception.

This popular behavioral endocrinology text provides detailed information on what hormones are, how they affect cells, and how such effects can alter the behavior of animals, including humans. Presenting a broad continuum of levels of analysis, from molecular to evolutionary, the book discusses how genes work, the structure of cells, the interactions of endocrine organs, the behavior of individuals, the structure of social hierarchies, and the evolution of mating systems.

An Introduction

This far-ranging book shows how human memory influences the organization of music. The book is divided into two parts. The first part presents basic ideas about memory and perception from cognitive psychology and, to some extent, cognitive linguistics. Topics include auditory processing, perception, and recognition. The second part describes in detail how the concepts from the first part are exemplified in music.

An Introduction to Neural Network Modeling of the Hippocampus and Learning

This book is for students and researchers who have a specific interest in learning and memory and want to understand how computational models can be integrated into experimental research on the hippocampus and learning. It emphasizes the function of brain structures as they give rise to behavior, rather than the molecular or neuronal details. It also emphasizes the process of modeling, rather than the mathematical details of the models themselves.

Understanding the Mind by Simulating the Brain

The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex.

  • Page 2 of 8