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20 Years of Computational Neuroscience By James M Bower

20 Years of Computational Neuroscience by James M Bower

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Summary

For each article, its author will select an article originally appearing in a CNS conference proceedings from 15 - 20 years ago. The new articles will describe what has been learned about the subject in the following 20 years, and pose specific challenges for the next 20 years.

This book will be specially printed for your order, which means it may take a little longer to arrive (5 days). We do this to cut down on waste & to help protect our planet.

20 Years of Computational Neuroscience Summary

20 Years of Computational Neuroscience by James M Bower

When funding agencies and policy organizations consider the role of modeling and simulation in modern biology, the question is often posed, what has been accomplished ? This book will be organized around a symposium on the 20 year history of the CNS meetings, to be held as part of CNS 2010 in San Antonio Texas in July 2010. The book, like the symposium is intended to summarize progress made in Computational Neuroscience over the last 20 years while also considering current challenges in the field. As described in the table of contents, the chapter's authors have been selected to provide wide coverage of the applications of computational techniques to a broad range of questions and model systems in neuroscience. The proposed book will include several features that establish the history of the field. For each article, its author will select an article originally appearing in a CNS conference proceedings from 15 - 20 years ago. These short (less than 6 page) articles will provide illustrations of the state of the field 20 years ago. The new articles will describe what has been learned about the subject in the following 20 years, and pose specific challenges for the next 20 years. The second historical mechanism will be the reproduction of the first 12 years of posters from the CNS meeting. These posters in and of themselves have become famous in the field (they hang in the halls of the NIH in Bethesda Maryland) and were constructed as allegories for the state and development of computational neuroscience. The posters were designed by the book's editor, who will, for the first time, provide a written description of each poster.

Table of Contents

1. Computational Neuroscience: What have we learned in 20 years and what do we still need to know? --*James M. Bower (University of Texas Health Science Center, San Antonio) 2. Analysis of invertebrate nervous systems as models for understanding complex function --*Dr. John Miller (Montana State University) 3. The more we look, the more biological variation we see: How has and should this influence modeling of small networks? --*Dr. Ron Calabrese (Emory University) 4. The Nervous System, still noisy after all these years? --Dr. Alain Destexhe (CNRS - France) 5. Still looking for the memories: molecules and synaptic plasticity. --Dr. Upinder Bhalla (NCBS- Bangalore India) 6. Modeling neuronal dynamics - our trajectory? --Dr. John Rinzel (NYU) 7. Learning about vision: questions we've answered, questions we haven't answered, and questions we haven't yet asked. --Dr. Bruno Olshausen (University of California Berkeley) 8. Learning from the past: Approaches for Reproducibility in Computational Neuroscience --*Dr. Sharon Crook (Arizona State University) 9. Calcium: the Answer to Life, the Universe, and Everything --*Dr. Avrama Blackwell (George Mason University) 10. The olfactory system, still computing, but how? --*Dr. Christiane Linster (Cornell University) 11. 20 years of oscillations and memory: The long and winding road linking cellular mechanisms to behavior --*Dr. Michael Hasselmo (Boston University) 12. Reinforcement learning models then and now: from single cells to modern neuroimaging --Dr. Reed Montague (Baylor College of Medicine)

Additional information

NLS9781489995674
9781489995674
1489995676
20 Years of Computational Neuroscience by James M Bower
New
Paperback
Springer-Verlag New York Inc.
20150806
283
null null null null null null null null null null
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