Output details
15 - General Engineering
Imperial College London
Article title
The Ising decoder: reading out the activity of large neural ensembles.
Type
D - Journal article
Title of journal
Journal of Computational Neuroscience
Article number
-
Volume number
32
Issue number
1
First page of article
101
ISSN of journal
1573-6873
Year of publication
2012
URL
-
Number of additional authors
1
Additional information
This paper describes the first use of the Ising model from condensed matter physics to decode the activity of populations of neurons. Recognizing that “mean field” approximations of the Ising model could be used for decoding brain activity, we were able to decode much larger patterns of neural activity than previously possible. The paper led to plenary lectures at the 2012 UK Neuroinformatics Node Conference and the Royal Academy of Engineering Young Researcher Futures Meeting on Neural Engineering (Warwick, July 2012), and membership of the programme committee of the annual OCNS Workshop on Methods of Information Theory in Neuroscience.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
