Open AccessBook
Analog VLSI and Neural Systems
TLDR
This chapter discusses a simple circuit that can generate a sinusoidal response and calls this circuit the second-order section, which can be used to generate any response that can be represented by two poles in the complex plane, where the two poles have both real and imaginary parts.About:
The article was published on 1989-01-01 and is currently open access. It has received 2460 citations till now. The article focuses on the topics: Very-large-scale integration & Mixed-signal integrated circuit.read more
Citations
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Journal ArticleDOI
Memristive switching mechanism for metal/oxide/metal nanodevices.
Jianhua Yang,Matthew D. Pickett,Xuema Li,Douglas A. A. Ohlberg,Duncan Stewart,R. Stanley Williams +5 more
TL;DR: Experimental evidence is provided to support this general model of memristive electrical switching in oxide systems, and micro- and nanoscale TiO2 junction devices with platinum electrodes that exhibit fast bipolar nonvolatile switching are built.
Journal ArticleDOI
Blind separation of sources, Part 1: an adaptive algorithm based on neuromimetic architecture
Christian Jutten,Jeanny Hérault +1 more
TL;DR: A new concept, that of INdependent Components Analysis (INCA), more powerful than the classical Principal components Analysis (in decision tasks) emerges from this work.
Journal ArticleDOI
Properties and performance of a center/surround retinex
TL;DR: A practical implementation of the retinex is defined without particular concern for its validity as a model for human lightness and color perception, and the trade-off between rendition and dynamic range compression that is governed by the surround space constant is described.
Journal ArticleDOI
A low-power low-noise CMOS amplifier for neural recording applications
R.R. Harrison,C.T. Charles +1 more
TL;DR: In this article, a low-noise low-power biosignal amplifiers capable of amplifying signals in the millihertz-to-kilohertz range while rejecting large dc offsets generated at the electrode-tissue interface is presented.
Journal ArticleDOI
Neuromorphic Silicon Neuron Circuits
Giacomo Indiveri,Bernabe Linares-Barranco,Tara Julia Hamilton,André van Schaik,Ralph Etienne-Cummings,Tobi Delbruck,Shih-Chii Liu,Piotr Dudek,Philipp Hafliger,Sylvie Renaud,Johannes Schemmel,Gert Cauwenberghs,John V. Arthur,Kai Hynna,Fopefolu Folowosele,Sylvain Saïghi,Teresa Serrano-Gotarredona,Jayawan H B Wijekoon,Yingxue Wang,Kwabena Boahen +19 more
TL;DR: The most common building blocks and techniques used to implement these circuits, and an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin–Huxley models to bi-dimensional generalized adaptive integrate and fire models.
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