Output details
15 - General Engineering
University of Warwick
Article title
Suprathreshold stochastic resonance in neural processing tuned by correlation
Type
D - Journal article
Title of journal
Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)
Article number
011923
Volume number
84
Issue number
1
First page of article
-
ISSN of journal
1539-3755
Year of publication
2011
URL
-
Number of additional authors
3
Additional information
The concept of suprathreshold stochastic resonance (SSR) was first introduced by Stocks in 2000 and has since made a major impact on many aspect of science and technology [Mark D. McDonnell and Nigel Stocks (2009), Scholarpedia, 4(6):6508.] This publication extends this concept to show that a neural systems can exploit SSR in a more biophysical plausible manner by tuning the correlation between inputs – thus increasing the evidence base that real neural systems use SSR as a way of enhancing information processing.
Interdisciplinary
-
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
-
