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Visual Structures and Integrated Functions
This volume integrates theory and experiment to place the study of vision within the context of the action systems which use visual information. This theme is developed by stressing: (a) The importance of situating anyone part of the brain in the context of its interactions with other parts of the brain in subserving animal behavior. The title of this volume emphasizes that visual function is to be be viewed in the context of the integrated functions of the organism. (b) Both the intrinsic interest of frog and toad as animals in which to study the neural mechanisms of visuomotor coordination, and the importance of comparative studies with other organisms so that we may learn from an analysis of both similarities and differences. The present volume thus supplements our studies of frog and toad with papers on salamander, bird and reptile, turtle, rat, gerbil, rabbit, and monkey. (c) Perhaps most distinctively, the interaction between theory and experiment.
Evolution and Biocomputation
This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July 1992. This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index.
Methods in Cell Biology
Critically acclaimed for more than 25 years, the Methods in Cell Biology series provides an indispensable tool for the researcher. Each volume is carefully edited by experts to contain state-of-the-art reviews and step-by-step protocols. Techniques are described completely so that methods are made accessible to users.
Computation and Neural Systems
Computational neuroscience is best defined by its focus on understanding the nervous systems as a computational device rather than by a particular experimental technique. Accordinlgy, while the majority of the papers in this book describe analysis and modeling efforts, other papers describe the results of new biological experiments explicitly placed in the context of computational issues. The distribution of subjects in Computation and Neural Systems reflects the current state of the field. In addition to the scientific results presented here, numerous papers also describe the ongoing technical developments that are critical for the continued growth of computational neuroscience. Computation and Neural Systems includes papers presented at the First Annual Computation and Neural Systems meeting held in San Francisco, CA, July 26--29, 1992.
Neural Information Processing Systems
Papers comprising this volume were presented at the first IEEE Conference on [title] held in Denver, Co., Nov. 1987. As the limits of the digital computer become apparent, interest in neural networks has intensified. Ninety contributions discuss what neural networks can do, addressing topics that in
Perspectives on Economic Growth
Considering the new possibilities offered by endogenous growth models and the improvement of data information, new variables have been introduced in the analysis of economic growth. But in spite of this important effort to develop a wider and more complete perspective of economic growth process, other kinds of relations and factors must be included. And this is the main goal of this book. In the next chapters, authors analyse a set of variables or factors that the new perspective of the economic growth must include and the canonical models don't consider. The goal is to show that there are not only quantitative but also qualitative variables and factors that are growth enhancing. Traditional...
Current Catalog
First multi-year cumulation covers six years: 1965-70.
Caenorhibditus Elegans: Modern Biological Analysis of an Organism
The first of its kind, this laboratory handbook emphasizes diverse methods and technologies needed to investigate C. elegans, both as an integrated organism and as a model system for research inquiries in cell,developmental, and molecular biology, as well as in genetics and pharmacology. Four primary sections--Genetic and Culture Methods, Neurobiology, Cell and Molecular Biology, and Genomics and Informatics--reflect the cross-disciplinary nature of C. elegans research. Because C. elegans is a simple and malleable organism with a small genome and few cell types, it provides an elegant demonstration of functions fundamental to multicellular organisms. The discipline has greatly expanded as re...
Neural Network Simulation Environments
Neural Network Simulation Environments describes some of the best examples of neural simulation environments. All current neural simulation tools can be classified into four overlapping categories of increasing sophistication in software engineering. The least sophisticated are undocumented and dedicated programs, developed to solve just one specific problem; these tools cannot easily be used by the larger community and have not been included in this volume. The next category is a collection of custom-made programs, some perhaps borrowed from other application domains, and organized into libraries, sometimes with a rudimentary user interface. More recently, very sophisticated programs starte...
