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Silicon Retina with Adaptive Filtering Properties

Liu, Shih-Chii (1998) Silicon Retina with Adaptive Filtering Properties. In: Advances in Neural Information Processing Systems 10 (NIPS 1997). Advances in Neural Information Processing Systems. No.10. MIT Press , Cambridge, MA, pp. 712-718. ISBN 0-262-10076-2.

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This paper describes a small, compact circuit that captures the temporal and adaptation properties both of the photoreceptor and of the laminar layers of the fly. This circuit uses only six transistors and two capacitors. It is operated in the subthreshold domain. The circuit maintains a high transient gain by using adaptation to the background intensity as a form of gain control. The adaptation time constant of the circuit can be controlled via an external bias. Its temporal filtering properties change with the background intensity or signal-to-noise conditions. The frequency response of the circuit shows that in the frequency range of 1 to 100 Hz, the circuit response goes from highpass filtering under high light levels to lowpass filtering under low light levels (Le., when the signal-to-noise ratio is low). A chip with 20x20 pixels has been fabricated in 1.2µm ORBIT CMOS nwell technology.

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Additional Information:© 1998 Massachusetts Institute of Technology. I thank Bradley A. Minch for discussions of this work, Carver Mead for supporting this work, and the MOSIS foundation for fabricating this circuit. I also thank Lyn Dupre for editing this document. This work was supported in part by the Office of Naval Research, by DARPA, and by the Beckman Foundation.
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Office of Naval Research (ONR)UNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Arnold and Mabel Beckman FoundationUNSPECIFIED
Series Name:Advances in Neural Information Processing Systems
Issue or Number:10
Record Number:CaltechAUTHORS:20160223-163632614
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64704
Deposited On:24 Feb 2016 18:21
Last Modified:03 Oct 2019 09:40

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