Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Knowledge about the brain and the human nervous system ultimately relates to human thought, perception, and behavior. People use natural languages like English to talk about "common sense" concepts, but the brain processes that produce them are described in a highly technical vocabulary. BrainSpace tries to relate technical concepts in anatomy and chemistry to a general body of common sense knowledge, Open Mind Common Sense. It uses the novel inference technique of Blending, to perform joint inference between technical neuroscience knowledge and common sense knowledge, and vice versa. The current paper reports preliminary results showing that BrainSpace's inference organizes concepts such as the "visual brain," "dynamic brain," and deep brain stimulation in an intuitively plausible manner, indicating that it can serve as a foundation for interpreting more specific experimental and medical data. © 2012 Springer Science+Business Media, LLC.

Original publication

DOI

10.1007/s12559-012-9171-2

Type

Journal article

Journal

Cognitive Computation

Publication Date

01/03/2014

Volume

6

Pages

35 - 44