Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/21502
Appears in Collections: | Faculty of Social Sciences Working Papers |
Peer Review Status: | Unrefereed |
Title: | Computing brains: neuroscience, machine intelligence and big data in the cognitive classroom |
Author(s): | Williamson, Ben |
Contact Email: | ben.williamson@stir.ac.uk |
Citation: | Williamson B (2014) Computing brains: neuroscience, machine intelligence and big data in the cognitive classroom. http://dmlcentral.net/blog/ben-williamson/computing-brains-neuroscience-machine-intelligence-and-big-data-cognitive-classr |
Keywords: | neuroscience big data machine intelligence education Artificial Intelligence Computers Technology |
Issue Date: | 8-Dec-2014 |
Date Deposited: | 16-Feb-2015 |
Publisher: | DMLcentral.net |
Abstract: | The human brain has become a major topic in education. The field of educational neuroscience, or neuroeducation, is flourishing. At the same time, a number of initiatives based in computer science departments and major technology companies are also taking the brain seriously. Computer scientists talk of developing new brain-inspired cognitive learning systems, or of developing new theoretical and computational understandings of the brain in order to then build new and more effective forms of machine intelligence. The important aspect of these synchronous developments in neuroscience and brain-based systems is that they are beginning to come together in particular technological developments and products targeted specifically at schools. |
Type: | Working Paper |
URI: | http://hdl.handle.net/1893/21502 |
URL: | http://dmlcentral.net/blog/ben-williamson/computing-brains-neuroscience-machine-intelligence-and-big-data-cognitive-classr |
Rights: | Author retains copyright. |
Affiliation: | Initial Teacher Education - LEGACY |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
WilliamsonB_Computing brains_2014.pdf | Fulltext - Accepted Version | 315.22 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.