no code implementations • 7 Jul 2020 • Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li
Inspired by the mammal's auditory localization pathway, in this paper we propose a pure spiking neural network (SNN) based computational model for precise sound localization in the noisy real-world environment, and implement this algorithm in a real-time robotic system with a microphone array.
no code implementations • 12 Sep 2019 • Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li
We show that, with population neural codings, the encoded patterns are linearly separable using the Support Vector Machine (SVM).
no code implementations • 3 Sep 2019 • Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah
The neural encoding scheme, that we call Biologically plausible Auditory Encoding (BAE), emulates the functions of the perceptual components of the human auditory system, that include the cochlear filter bank, the inner hair cells, auditory masking effects from psychoacoustic models, and the spike neural encoding by the auditory nerve.