Engineering the Next Revolution in Neuroscience: The New Science of Experiment Planning

Engineering the Next Revolution in Neuroscience: The New Science of Experiment Planning
  • 1st Ed.
  • 2014
  • © Oxford University Press
  • Alcino J. Silva; Anthony Landreth; John Bickle
  • ISBN-10: 0-19-973175-6 / ISBN-13: 978-0-19-973175-6
  • Neurology, Psychiatry

 

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Description

Science is growing at a pace that exceeds our comprehension. This is no less true of neuroscience than any other discipline. Ambiguity about what is known and what has been dis-proven confounds researchers and hampers research planning. There are simply too many research articles and too few hours in the day for anyone to read all that is relevant, let alone distinguish the reliable results from the sketchy ones.

Engineering the Next Revolution in Neuroscience explores the proposal that we can overcome these obstacles to scientific progress, and revolutionize neuroscience, by using a framework to map the experimental record. With case studies from learning and memory research, the authors show that we can construct networks of experimental research that make the state of our knowledge manifest. Armed with maps of experiments, scientists can determine more efficiently what their fields have accomplished and where the unexplored territories still reside.

Engineering the Next Revolution in Neuroscience: The New Science of Experiment Planning:

  • • Argues that it is time to develop a science of experiment planning with the goal of studying and optimizing the strategies used by scientists to make research choices
  • • Describes a fundamentally different approach to experiment planning in neuroscience that addresses the growing size, complexity, and integration of the literature in this field
  • • Outlines a strategy to derive maps of research findings that can be used to determine what is known, what is uncertain and how to best contribute to the research record
  • • Proposes the controversial idea that important experiments in neuroscience can be identified and planned with the help of research maps

 

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