Decoding suprathreshold stochastic resonance with optimal weights
نویسندگان
چکیده
a Institute of Complexity Science, Qingdao University, Qingdao 266071, PR China b Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, School of Information Technology and Mathematical Sciences, University of South Australia, SA 5095, Australia c Centre for Biomedical Engineering (CBME) and School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
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Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance
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