Speech analysis using a nonlinear cochlear model with feedback regulation
Visual representations of speech signals
Analog VLSI signal processing: why, where, and how?
Journal of VLSI Signal Processing Systems - Joint special issue on Analog VLSI computation; also see Analog Integrated Circuits Signal Process., Vol. 6, No. 1
Connectionist Speech Recognition: A Hybrid Approach
Connectionist Speech Recognition: A Hybrid Approach
A Subthreshold CMOS Continuous-Time Bandpass Filter with Large-Signal Stability
Analog Integrated Circuits and Signal Processing - Special issue: papers from the 40th midwest symposium
A Current-Mode Hysteretic Winner-take-all Network, with Excitatory and Inhibitory Coupling
Analog Integrated Circuits and Signal Processing
Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
Neural Computation
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A model of an active cochlea featuring a frequency selectivegain adaptation is proposed. The model is developed for analogueVLSI implementation and is based on the original ’’analog electroniccochlea‘‘ proposed by Lyon and Mead (1988) which consists ofa second-order lowpass filter cascade. At any position alongthe cochlea, the gain is locally controlled by the output levelat this position through the quality factor of the second-orderlowpass filter which best participates to this local gain. Inorder to achieve a 40dB compression with a limited local qualityfactor, the pseudoresonance of the cascade is used. A carefulanalysis of the functional model, supported by realistic computersimulations, shows the validity of the model by comparison withits biological counterpart. All the building blocks for an analogueVLSI implementation are proposed, taking into account the majortechnological limitations of a standard CMOS process.