Output details
11 - Computer Science and Informatics
University of Sheffield
Article title
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Type
D - Journal article
DOI
Title of journal
Nature Neuroscience
Article number
-
Volume number
13
Issue number
3
First page of article
344
ISSN of journal
15461726
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
<28> The encoding of information in the brain using neuronal spike trains is not yet fully understood. We used a multi-scale computational model and data from neuronal electrophysiology to provide the first concrete evidence that different brain areas use different communication codes (rate-based or spike time-based), suggesting that brain connectivity and coding are strongly related. Follow up work includes collaboration with the University of Antwerp and a funded multi-site EU FP7 ITN consortium NAMASEN. The work is foundational with 129 Google Scholar citations. Nature Neuroscience is a leading outlet for neuroscience. (IF 15.531, rank 4/244 in neurosciences).
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Computational Biology
Citation count
88
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
