tailieunhanh - Báo cáo y học: " The mechanism for stochastic resonance enhancement of mammalian auditory information processing"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: " The mechanism for stochastic resonance enhancement of mammalian auditory information processing | Theoretical Biology and Medical Modelling BioMed Central Research Open Access The mechanism for stochastic resonance enhancement of mammalian auditory information processing Dawei Hong1 Joseph V Martin 2 and William M Saidel2 Address Department of Computer Science Rutgers University Camden New Jersey USA and 2Department of Biology Rutgers University Camden New Jersey USA Email Dawei Hong - dhong@ Joseph V Martin - jomartin@ William M Saidel - saidel@ Corresponding author Published 01 December 2006 Received 19 May 2006 Theoretical Biology and Medical Modelling 2006 3 39 doi 1742-4682-3-39 Accepted 01 December 2006 This article is available from http content 3 1 39 2006 Hong et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background In a mammalian auditory system when intrinsic noise is added to a subthreshold signal not only can the resulting noisy signal be detected but also the information carried by the signal can be completely recovered. Such a phenomenon is called stochastic resonance SR . Current analysis of SR commonly employs the energies of the subthreshold signal and intrinsic noise. However it is difficult to explain SR when the energy addition of the signal and noise is not enough to lift the subthreshold signal over the threshold. Therefore information modulation has been hypothesized to play a role in some forms of SR in sensory systems. Information modulation however seems an unlikely mechanism for mammalian audition since it requires significant a priori knowledge of the characteristics of the signal. Results We propose that the analysis of SR cannot rely solely on the energies of a subthreshold signal and intrinsic .

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