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Results 1-10 of 29 (Search time: 0.006 seconds).
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PreviewIssue DateTitleAuthor(s)
2020Binary signal transmission in nonlinear sensors: stochastic resonance and human hand balanceDuan, F.; Duan, L.; Chapeau-Blondeau, F.; Ren, Y.; Abbott, D.
2019Noise benefits in combined nonlinear Bayesian estimatorsDuang, F.; Pan, Y.; Chapeau-Blondeau, F.; Abbott, D.
2016An output-only nonlinear system identification technique suited to integer arithmeticGunn, L.J.; Chapeau-Blondeau, F.; Allison, A.; Abbott, D.; IEEE Conference on Norbert Wiener in the 21st Century (21CW) (13 Jul 2016 - 16 Jul 2016 : Melbourne, VIC, Australia)
2016Towards an information-theoretic model of the Allison mixture stochastic processGunn, L.J.; Chapeau-Blondeau, F.; Allison, A.; Abbott, D.
2016Too good to be true: when overwhelming evidence fails to convinceGunn, L.J.; Chapeau-Blondeau, F.; McDonnell, M.D.; Davis, B.R.; Allison, A.; Abbott, D.
2016Encoding efficiency of suprathreshold stochastic resonance on stimulus-specific informationDuan, F.; Chapeau-Blondeau, F.; Abbott, D.
2021Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function ApproximationDuan, L.; Duan, F.; Chapeau-Blondeau, F.; Abbott, D.
2022Training threshold neural networks by extreme learning machine and adaptive stochastic resonanceChen, Z.; Duan, F.; Chapeau-Blondeau, F.; Abbott, D.
2014Non-Gaussian noise benefits for coherent detection of narrowband weak signalDuan, F.; Chapeau-Blondeau, F.; Abbott, D.
2022Generalization of stochastic-resonance-based threshold networks with Tikhonov regularizationBai, S.; Duan, F.; Chapeau-Blondeau, F.; Abbott, D.

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