The Future of the Brain: Essays by the World’s Leading Neuroscientists, edited by Gary Marcus and Jeremy Freeman
Synopsis: An unprecedented look at the quest to unravel the mysteries of the human brain, The Future of the Braintakes readers to the absolute frontiers of science. Original essays by leading researchers such as Christof Koch, George Church, Olaf Sporns, and May-Britt and Edvard Moser describe the spectacular technological advances that will enable us to map the more than eighty-five billion neurons in the brain, as well as the challenges that lie ahead in understanding the anticipated deluge of data and the prospects for building working simulations of the human brain. A must-read for anyone trying to understand ambitious new research programs such as the Obama administration’s BRAIN Initiative and the European Union’s Human Brain Project, The Future of the Brain sheds light on the breathtaking implications of brain science for medicine, psychiatry, and even human consciousness itself.
Contributors include: Misha Ahrens, Ned Block, Matteo Carandini, George Church, John Donoghue, Chris Eliasmith, Simon Fisher, Mike Hawrylycz, Sean Hill, Christof Koch, Leah Krubitzer, Michel Maharbiz, Kevin Mitchell, Edvard Moser, May-Britt Moser, David Poeppel, Krishna Shenoy, Olaf Sporns, Anthony Zador.
Published: November 2014 | ISBN: 978-0691173313
Gary’s Homepage: http://garymarcus.com
Gary’s Twitter: https://twitter.com/GaryMarcus
Jeremy’s Homepage: http://www.jeremyfreeman.net
Jeremy’s Twitter: https://twitter.com/thefreemanlab
“The narratives attempt thought-provoking arguments for the future of the brain and the implications on ethics and human behaviour. A fascinating book for readers of all levels.”—Library Journal
“Dispatches from the scientific minds at the forefront of the quest to map and understand the myriad neural connections that constitute evolutions’s most curious creation, the essays that make up The Future of the Brain serve as great primers in topics scientific and logistical: from memory and consciousness to the computer modeling of neural complexities to big-data analysis.”–Bob Grant, The Scientist
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