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Updated: Jul 31, 2025

Extracting the Cochlea from a Human Temporal Bone: A Cadaveric Protocol
Published on: August 18, 2023
Event-driven spectrotemporal feature extraction and classification using a silicon cochlea model
Ying Xu1, Samalika Perera1, Yeshwanth Bethi1
1International Centre for Neuromorphic Systems, The MARCS Institute for Brain, Behavior, and Development, Western Sydney University, Kingswood, NSW, Australia.
Abstract:
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 Cascade of Asymmetric Resonators with Fast Acting Compression (CAR-FAC) cochlea models and leaky integrate-and-fire (LIF) neurons. Additionally, we propose an event-driven SpectroTemporal Receptive Field (STRF) Feature Extraction using Adaptive Selection Thresholds (FEAST). It is tested on the TIDIGTIS benchmark and compared with current event-based auditory signal processing approaches and neural networks.
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