Abstract
Nonlinear signal processing is an integral part of sensory transduction in the nervous system. Sensory inputs are analog, continuous-time signals with a large dynamic range, whereas central neurons encode information with limited dynamic range and temporal specificity, using fixed-width, fixed-height pulses. Sensory transduction uses nonlinear signal processing to reduce real-world input to a neural representation, with a minimal loss of information.
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© 1989 Kluwer Academic Publishers
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Lazzaro, J., Mead, C. (1989). Circuit Models of Sensory Transduction in the Cochlea. In: Mead, C., Ismail, M. (eds) Analog VLSI Implementation of Neural Systems. The Kluwer International Series in Engineering and Computer Science, vol 80. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1639-8_4
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DOI: https://doi.org/10.1007/978-1-4613-1639-8_4
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