Description: Brain Computation as Hierarchical Abstraction by Dana H. Ballard Estimated delivery 3-12 business days Format Paperback Condition Brand New Description An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is. Publisher Description An argument that the complexities of brain function can be understood hierarchically, in terms of different levels of abstraction, as silicon computing is.The vast differences between the brains neural circuitry and a computers silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organization of the brain has many parallels with the hierarchical organization of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction.Drawing on several decades of progress in computational neuroscience, together with recent results in Bayesian and reinforcement learning methodologies, Ballard factors the brains principal computational issues in terms of their natural place in an overall hierarchy. Each of these factors leads to a fresh perspective. A neural level focuses on the basic forebrain functions and shows how processing demands dictate the extensive use of timing-based circuitry and an overall organization of tabular memories. An embodiment level organization works in reverse, making extensive use of multiplexing and on-demand processing to achieve fast parallel computation. An awareness level focuses on the brains representations of emotion, attention and consciousness, showing that they can operate with great economy in the context of the neural and embodiment substrates. Author Biography Dana H. Ballard is Professor in the Department of Computer Sciences at the University of Texas at Austin, where he has appointments in Psychology, the Institute for Neuroscience, and the Center for Perceptual Systems. He is the author of An Introduction to Natural Computation (MIT Press). Details ISBN 0262534126 ISBN-13 9780262534123 Title Brain Computation as Hierarchical Abstraction Author Dana H. Ballard Format Paperback Year 2015 Pages 456 Publisher MIT Press Ltd GE_Item_ID:160307896; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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ISBN-13: 9780262534123
Book Title: Brain Computation as Hierarchical Abstraction
Number of Pages: 456 Pages
Publication Name: Brain Computation As Hierarchical Abstraction
Language: English
Publisher: MIT Press
Publication Year: 2015
Item Height: 0.9 in
Subject: Neuroscience, Life Sciences / Neuroscience, Data Modeling & Design, Neural Networks
Type: Textbook
Item Weight: 30.1 Oz
Item Length: 9.1 in
Author: Dana H. Ballard
Subject Area: Computers, Science, Medical
Series: Computational Neuroscience Ser.
Item Width: 6.1 in
Format: Trade Paperback