Michael C. Mozer

Michael C. Mozer is a Professor in the Department of Computer Science and the Institute of Cognitive Science at the University of Colorado, Boulder. In 1990 he received the Presidential Young Investigator Award from the National Science Foundation.

  • Advances in Neural Information Processing Systems 9

    Advances in Neural Information Processing Systems 9

    Proceedings of The 1996 Conference

    Michael C. Mozer, Michael I. Jordan, and Thomas Petsche

    The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes neural networks and genetic algorithms, cognitive science, neuroscience and biology, computer science, AI, applied mathematics, physics, and many branches of engineering. Only about 30% of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. All of the papers presented appear in these proceedings.

    • Hardcover $20.75 £16.99
  • Advances in Neural Information Processing Systems 8

    Advances in Neural Information Processing Systems 8

    Proceedings of the 1995 Conference

    David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo

    The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book

    • Hardcover $20.75 £16.99
  • The Perception of Multiple Objects

    A Connectionist Approach

    Michael C. Mozer

    The Perception of Multiple Objects describes a neurally inspired computational model of two-dimensional object recognition and spatial attention that can explain many characteristics of human visual perception. The model, called MORSEL (named for its ability to perform Multiple Object Recognition and attentional Selection), is unique in providing a broad and unified explanation for a wide range of experimental psychological data on visual perception and attention. Although it draws on existing theoretical perspectives from cognitive psychology, it is a fully mechanistic account, not just a functional-level theory. MORSEL has been trained to recognize letters and words in various positions on its "retina." Following training, it can also recognize several items at once, subject to capacity limitations. The model makes predictions about what sorts of information the visual system can process in parallel and what sorts must be processed serially. Through simulation experiments, chiefly in letter and word perception, MORSEL has been shown to account for a variety of psychological phenomena, including perceptual errors that arise when several items appear simultaneously in the visual field, facilitatory effects of context and redundant information, attentional phenomena, visual search performance, and behaviors exhibited by neurological patients with acquired dyslexia.

    • Hardcover $35.00