Computational Theories And Their Implementation In The Brain
Download Computational Theories And Their Implementation In The Brain PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computational Theories And Their Implementation In The Brain book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Computational Theories and Their Implementation in the Brain
David Marr is known for his research on the brain in the late 60s and 70s, becoming one of the main founders of Computational Neuroscience when neuroscience was in its infancy. Written by distinguished contributors, this book evaluates the extent to which his theories are still valid and identifies areas that need to be altered.
Key Thinkers in Neuroscience
Key Thinkers in Neuroscience provides insight into the life and work of some of the most significant minds that have shaped the field. Studies of the human brain have been varied and complex, and the field is rich in pioneers whose endeavours have broken new ground in neuroscience. Adopting a chronological and multi-disciplinary approach to each Key Thinker, the book highlights their extraordinary contributions to neuroscience. Beginning with Santiago Ramon y Cajal and finishing with the philosophers Patricia Churchland and Paul Churchland, this book provides a comprehensive look at the new ideas and discoveries that have shaped neuroscientific research and practice, and the people that have been invaluable to this field. This book will be an indispensable companion for all students of neuroscience and the history of psychology, as well as anyone interested in how we have built our knowledge of the brain.
Representation in the Brain
This eBook contains ten articles on the topic of representation of abstract concepts, both simple and complex, at the neural level in the brain. Seven of the articles directly address the main competing theories of mental representation – localist and distributed. Four of these articles argue – either on a theoretical basis or with neurophysiological evidence – that abstract concepts, simple or complex, exist (have to exist) at either the single cell level or in an exclusive neural cell assembly. There are three other papers that argue for sparse distributed representation (population coding) of abstract concepts. There are two other papers that discuss neural implementation of symbolic models. The remaining paper deals with learning of motor skills from imagery versus actual execution. A summary of these papers is provided in the Editorial.