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This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletree Inn in Santa Barbara, California. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches, and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
This exciting volume offers an up-to-date tour of current trends in the neurobiology of memory while saluting Raymond Kesner's pioneering contributions to the field as a theorist and researcher, teacher and mentor. Starting with his signature chapter introducing the Attribute Model of Memory, the first half of the book focuses on the central role of the hippocampus in processing dimensions of space and time, and branches out to memory system interactions across brain structures. Later chapters apply the attribute model to multiple functions of memory in learning, and to specific neurological contexts, including Huntington's disease, traumatic brain injury, and Fragile X. As a bonus, the book...
The aim of this book is to provide insight into the principles of operation of the cerebral cortex. These principles are key to understanding how we, as humans, function. There have been few previous attempts to set out some of the important principles of operation of the cortex, and this book is pioneering. The book goes beyond separate connectional neuroanatomical, neurophysiological, neuroimaging, neuropsychiatric, and computational neuroscience approaches, by combining evidence from all these areas to formulate hypotheses about how and what the cerebral cortex computes. As clear hypotheses are needed in this most important area of 21st century science, how our brains work, I have formula...
This Research Topic will focus on how the visual system recognizes objects regardless of variations in the viewpoint, illumination, retinal size, background, etc. Contributors are encouraged to submit articles describing novel results, models, viewpoints, perspectives and/or methodological innovations relevant to this topic. The issues we wish to cover include, but are not limited to, perceptual invariance under one or more of the following types of image variation: • Object shape • Task • Viewpoint (from the translation and rotation of the object relative to the viewer) • Illumination, shading, and shadows • Degree of occlusion • Retinal size • Color • Surface texture • Vi...
The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.
Presents the full contents of the Bodleian Library's collection of charters and rolls.
There is increasing interest in understanding the interplay of emotional and cognitive processes. The objective of the Research Topic was to provide an interdisciplinary survey of cutting-edge neuroscientific research on the interaction and integration of emotion and cognition in the brain. The following original empirical reports, commentaries and theoretical reviews provide a comprehensive survey on recent advances in understanding how emotional and cognitive processes interact, how they are integrated in the brain, and what their implications for understanding the mind and its disorders are. These works encompasses a broad spectrum of populations and showcases a wide variety of paradigms,...
This book is a collection of several tutorials from the EUROGRAPHICS '90 conference in Montreux. The conference was held under the motto "IMAGES: Synthesis, Analysis and Interaction", and the tutorials, partly presented in this volume, reflect the conference theme. As such, this volume provides a unique collection of advanced texts on 'traditional' com puter graphics as well as of tutorials on image processing and image reconstruction. As with all the volumes of the series "Advances in Computer Graphics", the contributors are leading experts in their respective fields. The chapter Design and Display of Solid Models provides an extended introduction to interactive graphics techniques for desi...
Eating is defined as the act of taking food into the mouth, chewing and then swallowing it for nourishment. The purpose of this volume is to present a number of up-to-date scientific reviews on the mechanisms involved in the process of eating and to introduce the reader to some of the problems encountered when these complex processes malfunction. Topics include a discussion on the peripheral mechanisms of taste and smell, taste and olfactory processing in the brain and its relation to the control of eating, and a section on mastication with an account of the scientific basis of masticatory disorders. The control mechanisms involved in salivation and swallowing are also extensively reviewed. Because this book reviews the fundamental understanding of the physiological mechanisms involved in eating and includes an insight into the scientific basis of the malfunction of these mechanisms, it will be of equal value to both clinical and basic scientists. In particular, basic and clinical oral biologists and neurophysiologists, dental and medical researchers and postgraduate students will find it a valuable source of information.
An evaluation of the merits, potential, and limits of Connectionism, this book also illustrates current research programs and recent trends.Connectionism (also known as Neural Networks) is an exciting new field which has brought together researchers from different areas such as artificial intelligence, computer science, cognitive science, neuroscience, physics, and complex dynamics. These researchers are applying the connectionist paradigm in an interdisciplinary way to the analysis and design of intelligent systems.In this book, researchers from the above-mentioned fields not only report on their most recent research results, but also describe Connectionism from the perspective of their own field, looking at issues such as: - the effects and the utility of Connectionism for their field - the potential and limitations of Connectionism - can it be combined with other approaches?