20 Years of Computational Neuroscience

ISBN-13: 9781461414230 / Angielski / Twarda / 2013 / 283 str.

James M. Bower

Opis

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.

Spis treści

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)

Blurb

Twenty years ago, the field of Computational Neuroscience was relatively new and many computer models were starting to be constructed of different structures and brain regions. This book seeks to answer the questions, what have we learned over the last twenty years using computational techniques? and what are the most significant challenges that remain? 

The authors were selected to provide wide coverage of the applications of computational techniques to a broad range of questions and model systems in neuroscience.  In addition, several chapters consider the historical development of the field of Computational Neuroscience itself, including its associated modeling technology. These contributions recount the historical record, but also consider what developments are necessary to continue to advance computational understanding of brain function. 

The book also includes an historical account of the establishment of the annual international meeting in Computational Neuroscience (the “CNS” meeting) more than twenty years ago, and includes annotated reproductions of the first twelve years of posters from that meeting. These posters in and of themselves have become famous in the field, hanging in many laboratories around the world and also in the halls of the NIH in Bethesda. Created at the time as allegories for the state of Computational Neuroscience, they now tell their own story of the origins and development of the field.