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Model Neural Networks and Behavior
The most conspicuous function of the nervous system is to control animal behav ior. From the complex operations of learning and mentation to the molecular con figuration of ionic channels, the nervous system serves as the interface between an animal and its environment. To study and understand the fundamental mecha nisms underlying the control of behavior, it is often both necessary and desirable to employ biological systems with characteristics especially suitable for answering specific questions. In neurobiology, many invertebrates have become established as model systems for investigations at both the systems and the cellular level. Large, readily identifiable neurons have made invertebrates especially useful for cellular studies. The fact that these neurons occur in much smaller numbers than those in higher animals also makes them important for circuit analysis. Although important differences exist, some of the questions that would be tech nically impossible to answer with vertebrates can become experimentally tractable with invertebrates.
The Crustacean Stomatogastric System
This book is a result of a Symposium* organized by the Editors in October 1984 at San Diego. Almost all of the present and past investigators of the Crustacean Stomatogastric Nervous Systems participated. However, this book should not, by any means, be considered a sympo sium report. Its goal is to present not only the most recent results obtained with this system, but also a complete and comprehensive view of the con tributions made by this preparation to fundamental concepts in neurobiol ogy. This has been possible only with the cooperation of all of the investiga tors concerned and we must gratefully thank all of our colleagues who have agreed to let the authors of the chapters include so...
Lessons from the Lobster
How forty years of research on thirty neurons in the stomach of a lobster has yielded valuable insights for the study of the human brain. Neuroscientist Eve Marder has spent forty years studying thirty neurons on the stomach of a lobster. Her focus on this tiny network of cells has yielded valuable insights into the much more complex workings of the human brain; she has become a leading voice in neuroscience. In Lessons from the Lobster, Charlotte Nassim describes Marder's work and its significance accessibly and engagingly, tracing the evolution of a supremely gifted scientist's ideas. From the lobster's digestion to human thought is very big leap indeed. Our brains selectively recruit netw...
Dynamic Biological Networks
This introduction to the crustacean stomatogastric nervous system (STNS) describes some of the best-understood neural networks in the animal kingdom at cellular, network, behavioral, comparative, and evolutionary levels of analysis.
Computer Analysis of Neuronal Structures
It seems particularly appropriate that this pioneering collection of papers should be dedicated to Donald Sholl since those of us who count, measure, and reconstruct elements of the neural en~emble are all very much in his debt. Sholl was certainly not the first to attempt quantification of certain aspects of brain structure. No computers were available to him for the kind of answers he sought, and some of his answers - or rather his interpretations - may not stand the test of time. But we remember him because of the questions he asked and for the reasons he asked them. At a time when the entire family of Golgi techniques was in almost total eclipse, he had the judgment to rely on them. And in a period when the canonical neuron was a perfect sphere (the enormous dendritic superstructure being almost forgotten), he was one of a very few who looked to dendrite extension and pattern as a prime clue to the overall problem of neuronal connectivity.
Research Grants
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Mosaic
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Visual Population Codes
How visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques. Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across...
