Abstract Sever< tl resE'< lI'ch gl'Oups cue impl ('lllt'lIt. ing allalog integrat. ed circuit. models
of hiological audit. ory Pl" Occ'ssing. The outputs of these circuit models haV (~ takell …

We report a programmable analog bionic ear (cochlear implant) processor in a 1.5-/spl
mu/m BiCMOS technology with a power consumption of 211/spl mu/W and 77-dB dynamic …

Neuromorphic systems are implementations in silicon of elements of neural systems. The
idea of electronic implementation is not new, but modern microelectronics has provided …

Biologically motivated feature extraction algorithms have been found to provide significantly
robust performance in speech recognition systems, in the presence of channel and noise …

An auditory-based feature extraction algorithm is presented. We name the new features as
cochlear filter cepstral coefficients (CFCCs) which are defined based on a recently …

A new approach to the design of a low-power cascadable analogue filter for applications
such as silicon cochlea implants is described. One section of a possible silicon cochlea …

In spite of the strong interest in brain‐like or neuromorphic computation, relatively few
devices have emerged whose neuromorphic behavior is embedded in the hardware itself …

Fast wideband spectrum analysis is expensive in power and hardware resources. We show
that the spectrum-analysis architecture used by the biological cochlea is extremely efficient …

Analog VLSI on-chip learning Neural Networks represent a mature technology for a large
number of applications involving industrial as well as consumer appliances. This is …

This paper deals with the design and performance evaluation of a new analog CMOS
cochlea channel of increased biorealism. The design implements a recently proposed …