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How to Build a Brain
  • Language: en
  • Pages: 475

How to Build a Brain

Chris Eliasmith presents a new approach to understanding the neural implementation of cognition in a way that is centrally driven by biological considerations. According to the Semantic Pointer Hypothesis, higher-level cognitive functions in biological systems are made possible by semantic pointers.

How to Build a Brain
  • Language: en
  • Pages: 475

How to Build a Brain

How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.

Neural Engineering
  • Language: en
  • Pages: 384

Neural Engineering

  • Type: Book
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  • Published: 2003
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  • Publisher: MIT Press

A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Future Games
  • Language: en

Future Games

  • Type: Book
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  • Published: 2016
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  • Publisher: Unknown

None

Neural Engineering
  • Language: en
  • Pages: 356

Neural Engineering

  • Type: Book
  • -
  • Published: 2003
  • -
  • Publisher: Unknown

None

Mind Readings
  • Language: en
  • Pages: 364

Mind Readings

  • Type: Book
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  • Published: 1998-04-09
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  • Publisher: MIT Press

Mind Readings is a collection of accessible readings on some of the most important topics in cognitive science. Although anyone interested in the interdisciplinary study of mind will find the selections well worth reading, they work particularly well with Paul Thagard's textbook Mind: An Introduction Cognitive Science, and provide further discussion on the major topics discussed in that book. The first eight chapters present approaches to cognitive science from the perspective that thinking consists of computational procedures on mental representations. The remaining five chapters discuss challenges to the computational-representational understanding of mind. Contributors John R. Anderson, Ruth M.J. Byrne, E.H. Durfee, Chris Eliasmith, Owen Flanagan, Dedre Gentner, Janice Glasgow, Philip N. Johnson-Laird, Alan Mackworth, Arthur B. Markman, Douglas L. Medin, Keith Oatley, Dimitri Papadias, Steven Pinker, David E. Rumelhart, Herbert A. Simon.

The Future of the Brain
  • Language: en
  • Pages: 298

The Future of the Brain

The world's top experts take readers to the very frontiers of brain science Includes a chapter by 2014 Nobel laureates May-Britt Moser and Edvard Moser An unprecedented look at the quest to unravel the mysteries of the human brain, The Future of the Brain takes 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 ...

Automated Machine Learning
  • Language: en
  • Pages: 223

Automated Machine Learning

  • Type: Book
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  • Published: 2019-05-17
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  • Publisher: Springer

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Cognition and the Brain
  • Language: en
  • Pages: 464

Cognition and the Brain

An up to date and comprehensive overview of the philosophy and neuroscience movement. At the heart of the movement is the conviction that basic questions about human cognition can be answered only by a philosophically sophisticated grasp of neuroscience's insights into the processing of information by the human brain.

Pain Studies
  • Language: en

Pain Studies

“A fascinating, totally seductive read!” —Eula Biss, author of Notes from No Man’s Land: American Essays and On Immunity: An Inoculation “A book built of brain and nerve and blood and heart. . . . Irreverent and astute. . . . Pain Studies will change how you think about living with a body.” —Elizabeth McCracken, author of Thunderstruck and Bowlaway “A thrilling investigation into pain, language, and Olstein’s own exile from what Woolf called ‘the army of the upright.’ On a search path through art, science, poetry, and prime-time television, Olstein aims her knife-bright compassion at the very thing we’re all running from. Pain Studies is a masterpiece.” —Leni Zuma...