Wilfrid Rall was a pioneer in establishing the integrative functions of neuronal dendrites that have provided a foundation for neurobiology in general and computational neuroscience in particular. This collection of fifteen previously published papers, some of them not widely available, have been carefully chosen and annotated by Rall's colleagues and other leading neuroscientists. It brings together Rall's work over more than forty years, including his first papers extending cable theory to complex dendritic trees, his ground-breaking paper introducing compartmental analysis to computational neuroscience, and his studies of synaptic integration in motoneurons, dendrodendritic interactions, plasticity of dendritic spines, and active dendritic properties.  Today it is well known that the brain's synaptic information is processed mostly in the dendrites where many of the plastic changes underlying learning and memory take place. It is particularly timely to look again at the work of a major creator of the field, to appreciate where things started and where they have led, and to correct any misinterpretations of Rall's work. The editors' introduction highlights the major insights that were gained from Rall's studies as well as from those of his collaborators and followers. It asks the questions that Rall proposed during his scientific career and briefly summarizes the answers.  The papers include commentaries by Milton Brightman, Robert E. Burke, William R. Holmes, Donald R. Humphrey, Julian J. B. Jack, John Miller, Stephen Redman, John Rinzel, Idan Segev, Gordon M. Shepherd, and Charles Wilson.

The Theoretical Foundations of Dendritic Function: The Selected Papers of Wilfrid Rall with Commentaries (Computational Neuroscience)

Medical Books

Segev, Idan

Rinzel, John

Medicine

Bradford Books

Methods in Neuronal Modeling: From Synapses to Networks (Computational Neuroscience)

<p>A paperback reprint of MIT's 1989 hardcover original. Outlines methods and techniques used for simulating on digital computers the functional properties of single neurons from synapses, dendrites, single cells, and small invertebrate networks to large-scale neural networks in the mammalian nervous system. Annotation copyright Book News, Inc. Portland, Or.</p>

Methods in Neuronal Modeling: From Synapses to Networks

Computers & Technology

Koch, Christof

Certification

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