A silicon model of auditory localization
Neural Computation
Winner-take-all networks of O(N) complexity
Advances in neural information processing systems 1
International Journal of Computer Vision - Special issue: VLSI for computer vision
Analysis and Design of Analog Integrated Circuits
Analysis and Design of Analog Integrated Circuits
Design of an Analogue VLSI Model of an Active Cochlea
Analog Integrated Circuits and Signal Processing
Analog VLSI Excitatory Feedback Circuits for AttentionalShifts and Tracking
Analog Integrated Circuits and Signal Processing
Winner-Take-All Networks with Lateral Excitation
Analog Integrated Circuits and Signal Processing
IEEE Micro
Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Modeling Selective Attention Using a Neuromorphic Analog VLSI Device
Neural Computation
Implementations of artificial neural networks using current-mode pulse width modulation technique
IEEE Transactions on Neural Networks
Up-to-Date Bibliography of Current-Mode Design
Analog Integrated Circuits and Signal Processing
Active pixel sensor design: from pixels to systems
CMOS imagers
1-V bulk-driven CMOS analog programmable winner-takes-all circuit
Analog Integrated Circuits and Signal Processing
A vision chip for color segmentation and pattern matching
EURASIP Journal on Applied Signal Processing
Computation with spikes in a winner-take-all network
Neural Computation
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Winner-take-all (WTA) circuits are commonly used in a wide variety of applications. One of the most used current-mode WTA designs is the one originally proposed by Lazzaro et al. [1]. Several extensions to this design have been suggested in the past. In this paper we present a variant of this current-mode WTA circuit, containing all of the enhancements previously proposed, together with new additional modifications that endow it with interesting hysteretic and lateral inhibition and excitation properties. We compare the performance of this WTA circuit to the original WTA design, providing experimental data obtained from a VLSI chip containing both types of circuits, designed using closely matched layouts. We derive analytically the response properties of the circuit's lateral diffusion network, pointing out the differences to previously proposed diffusion networks, and present experimental data confirming the theoretical predictions. We also describe application domains that can best exploit these types of hysteretic WTA circuits.