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Computational Neuroscience

Computational neuroscience is an approach to understanding the development and function of nervous systems at many different structural scales, including the biophysical, the circuit, and the systems levels. Methods include theoretical analysis and modeling of neurons, networks, and brain systems and are complementary to empirical techniques in neuroscience. Areas and topics of particular interest to this book series include computational mechanisms in neurons, analysis of signal processing in neural circuits, representation of sensory information, systems models of sensorimotor integration, computational approaches to biological motor control, and models of learning and memory. Further topics of interest include the intersection of computational neuroscience with engineering, from representation and dynamics, to observation and control.

The Stomatogastric Nervous System

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.

How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field.

Heiligenberg's pioneering research describes the behavior of one species, the jamming avoidance response in the electric fish Eigenmannia, providing a rich mine of data that documents the first vertebrate example of the workings of the entire behavioral system from sensory input to motor output. Neural Nets in Electric Fish presents the principles and detailed results that have emerged from this exciting program.Heiligenberg's introduction familiarizes the reader with the unusual sensory modality electroreception, demonstrating the rationale and the motive behind the research.

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