Winner-Take-All Networks with Lateral Excitation

Authors:
Giacomo Indiveri
Affiliations:
Institute for Neuroinformatics, Gloriastrasse 32, CH-8006, Zürich, Switzerland
Venue:
Analog Integrated Circuits and Signal Processing
Year:
1997

Citing 5
Cited 7

Analog VLSI and neural systems

Analog VLSI and neural systems
Winner-take-all networks of O(N) complexity

Advances in neural information processing systems 1
Analog VLSI circuits for stimulus localization and centroid computation

International Journal of Computer Vision - Special issue: VLSI for computer vision
Computing motion using analog VLSI vision chips: an experimental comparison among different approaches

International Journal of Computer Vision - Special issue: VLSI for computer vision
System Implementations of Analog VLSI Velocity Sensors

IEEE Micro

A Current-Mode Hysteretic Winner-take-all Network, with Excitatory and Inhibitory Coupling

Analog Integrated Circuits and Signal Processing
A Normalizing aVLSI Network with Controllable Winner-Take-All Properties

Analog Integrated Circuits and Signal Processing
System Implementations of Analog VLSI Velocity Sensors

IEEE Micro
A theory of complexity for continuous time systems

Journal of Complexity
Modeling Selective Attention Using a Neuromorphic Analog VLSI Device

Neural Computation
2006 Special Issue: Modeling attention to salient proto-objects

Neural Networks
Computation with spikes in a winner-take-all network

Neural Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present two analog VLSI circuits thatimplement current mode winner-take-all (WTA) networks with lateralexcitation. We describe their principles of operation and comparetheir performance to previously proposed circuits. The desirableproperties of these circuits, namely compactness, low power consumption,collective processing and robustness to noisy inputs make themideal for system level integration in analog VLSI neuromorphicsystems. As application example, we implemented a circuit thatemploys an adaptive photoreceptor array as the input stage tothe WTA network for edge enhancement.