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Enhanced information transmission with signal-dependent noise in an array of nonlinear elements
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Nikitin, A., Stocks, Nigel G. and Morse, R. P.. (2007) Enhanced information transmission with signal-dependent noise in an array of nonlinear elements. Physical Review E, Vol.75 (No.2). Article: 021121. ISSN 1539-3755
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Official URL: http://dx.doi.org/10.1103/PhysRevE.75.021121
Abstract
We have investigated information transmission in an array of threshold units that have signal-dependent noise and a common input signal. We demonstrate a phenomenon similar to stochastic resonance and suprathreshold stochastic resonance with additive noise and show that information transmission can be enhanced by a nonzero level of noise. By comparing system performance to one with additive noise we also demonstrate that the information transmission of weak signals is significantly better with signal-dependent noise. Indeed, information rates are not compromised even for arbitrary small input signals. Furthermore, by an appropriate selection of parameters, we observe that the information can be made to be (almost) independent of the level of the noise, thus providing a robust method of transmitting information in the presence of noise. These result could imply that the ability of hair cells to code and transmit sensory information in biological sensory systems is not limited by the level of signal-dependent noise.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QC Physics |
| Divisions: | Faculty of Science > Engineering |
| Journal or Publication Title: | Physical Review E |
| Publisher: | American Physical Society |
| ISSN: | 1539-3755 |
| Date: | February 2007 |
| Volume: | Vol.75 |
| Number: | No.2 |
| Number of Pages: | 8 |
| Page Range: | Article: 021121 |
| Identification Number: | 10.1103/PhysRevE.75.021121 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| URI: | http://wrap.warwick.ac.uk/id/eprint/32304 |
Data sourced from Thomson Reuters' Web of Knowledge
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