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
Neuromorphic systems engineering: neural networks in silicon
Neuromorphic systems engineering: neural networks in silicon
Neural Information Processing and VLSI
Neural Information Processing and VLSI
Vision Chips: Implementing Vision Algorithms with Analog VLSI Circuits
Vision Chips: Implementing Vision Algorithms with Analog VLSI Circuits
Analog Velocity Sensing Circuits Based on Bio-Inspired Correlation Neural Networks
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
K-winners-take-all circuit with O(N) complexity
IEEE Transactions on Neural Networks
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In this paper, we propose simple neural networks for the visual-tracking task which are inspired from biological eye-movement systems. Although the proposed system is very simple, the system can pursuit the visual objects in the presence of background images. The proposed system consists of velocity sensing circuits, competitive neural circuits and motor control circuits which are contrived to be suitable for a large-scale analog circuit implementation. Results of extensive numerical and SPICE simulations indicate that the proposed circuit can produce the appropriate motor signal for the moving visual objects and pursuit the object in the presence of background images.