Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation

Guerreiro, José and Jackson, Joseph C. and Windmill, James F. C.; (2019) Enhancing acoustic sensory responsiveness by exploiting bio-inspired feedback computation. In: 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, GBR, pp. 1478-1482. ISBN 978-1-4799-8131-1 (https://doi.org/10.1109/ICASSP.2019.8682831)

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Engineering acoustic sensors and systems that can be sensitive to small sound levels even when immersed by background noise may require out-of-the-box thinking. Biology can provide inspiration for that, allowing the engineering landscape to borrow interesting ideas and thus solve current human problems. Biological sensor and system designs are a result of many million years of evolutionary processes, which make them very-power efficient and well-adapted to perform their function in a living organism. This paper presents a theoretical study of a bio-inspired signal processing concept. The assumption is that by exploiting feedback computation between a front-end acoustic detector and a back-end neuronal based processing, the overall acoustic responsiveness of a sensory system can be controlled and enhanced to target signals of interest. Here, two methods of feedback signal entrainment are compared namely 1:1 and 2:1 resonance modes.