1
/
of
1
Academic
Computational Theories and their Implementation in the Brain
Computational Theories and their Implementation in the Brain
Regular price
$159.53 USD
Regular price
Sale price
$159.53 USD
Shipping calculated at checkout.
Quantity
Couldn't load pickup availability
In the late 196s and early 197s David Marr produced three astonishing papers in which he gave a detailed account of how the fine structure and known cell types of the cerebellum, hippocampus and neocortex perform the functions that they do. Marr went on to become one of the main founders of Computational Neuroscience. In his classic work 'Vision' he distinguished between the computational, algorithmic, and implementational levels, and the three early theories concerned implementation. However, they were produced when Neuroscience was in its infancy. Now that so much more is known, it is timely to revisit these early theories to see to what extent they are still valid and what needs to be altered to produce viable theories that stand up to current evidence. This book brings together some of the most distinguished scientists in their fields to evaluate Marr's legacy. After a general introduction there are three chapters on the cerebellum, three on the hippocampus and two on the neocortex. The book ends with an appreciation of the life of David Marr by Lucia Vaina.
Author: Lucia M. Vaina
Publisher: Academic
Published: 01/02/2017
Pages: 272
Binding Type: Hardcover
Weight: 1.40lbs
Size: 9.80h x 6.80w x 0.70d
ISBN: 9780198749783
Author: Lucia M. Vaina
Publisher: Academic
Published: 01/02/2017
Pages: 272
Binding Type: Hardcover
Weight: 1.40lbs
Size: 9.80h x 6.80w x 0.70d
ISBN: 9780198749783
About the Author
Lucia M. Vaina, Professor of Biomedical Engineering, and co-Director of the Neurology of Vision Laboratory, Neuroscience and Neurology, Boston University; and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, Richard E. Passingham, Emeritus Professor of Cognitive Neuroscience, Department of Experimental Psychology, Oxford, UK
Share
