An Analogue VLSI Model of Active Cochlea
In the last decade, analogue electronics has been almost confined to the conversion between data of the physical world and its abstraction by numbers, in order to process it with efficient digital computers. Nature, however, could not wait for the development of computer science and creatures developed various strategies to interact with their environment. These interactions consist of sensing the environment and producing an action on it under the control of a decision. To be efficient, this decision is based on a set of representations of the environment best suited to the usual action to be taken: the perception of the environment. In applications where the perception/decision scheme can be applied such as pattern recognition, there is a growing interest to take inspiration from strategies developed by nature, especially where computer algorithms still fail to be as efficient as their natural counterparts. Analogue VLSI techniques seem best suited for an efficient implementation of the perceptive functions as an Analogue/Perceptive converter: data of the physical world is converted into relevant perceptive information rather than into a sequence of numbers allowing its perfect restitution, like in conventional Analogue/Digital converters .
KeywordsQuality Factor Automatic Speech Recognition Basilar Membrane Open Loop Gain Amplitude Gain
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