18 citations · 20 across the 3 of their papers we have counts for
5 papers
Real-time CARFAC Cochlea Model Acceleration on FPGA for Underwater Acoustic Sensing Systems
Bram Bremer, Matthew Bigelow, Stuart Anstee +3
This paper presents a real-time, energy-efficient embedded system implementing an array of Cascade of Asymmetric Resonators with Fast-Acting Compression (CARFAC) cochlea models for…
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model
Ying Xu, Samalika Perera, Yeshwanth Bethi +2
This paper presents a reconfigurable digital implementation of an event-based binaural cochlear system on a Field Programmable Gate Array (FPGA). It consists of a pair of the Casca…
An optimised deep spiking neural network architecture without gradients
Yeshwanth Bethi, Ying Xu, Gregory Cohen +2
We present an end-to-end trainable modular event-driven neural architecture that uses local synaptic and threshold adaptation rules to perform transformations between arbitrary spa…
Event-based Feature Extraction Using Adaptive Selection Thresholds
Saeed Afshar, Ying Xu, Jonathan Tapson +2
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain…
A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC
Ying Xu, Chetan Singh Thakur, Tara Julia Hamilton +3
We present a neuromorphic Analogue-to-Digital Converter (ADC), which uses integrate-and-fire (I&F) neurons as the encoders of the analogue signal, with modulated inhibitions to dec…