Results 271 to 280 of about 5,989,108 (296)

CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING

International Journal of Bifurcation and Chaos, 2003
Brain-like information processing has become a challenge to modern computer science and chip technology. The CNN (Cellular Neural Network) Universal Chip is the first fully programmable industrial-sized brain-like stored-program dynamic array computer which dates back to an invention of Leon O. Chua and Lin Yang in Berkeley in 1988.
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Synchronization and computation in a chaotic neural network

Physical Review Letters, 1992
Chaos generated by the internal dynamics of a large neural network can be correlated over large spatial scales. Modulating the spatial coherence of the chaotic fluctuations by the spatial pattern of the external input provides a robust mechanism for feature segmentation and binding, which cannot be accomplished by networks of oscillators with local ...
, Hansel, , Sompolinsky
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Cooperative computing and neural networks

2006
Artificial Neural Networks (ANNs) are large collections of interacting entities. Certain conditions of behavior and of nonlinear coupling between the entities enable self-organization of the system with emergent properties of associative memory, abstraction and generalization.
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Compute-Efficient Neural-Network Acceleration

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019
To enhance the performance of FPGA-based neural-network accelerators, maximizing both operating clock rates and compute efficiency is paramount. Streamlining data movement between memory and compute holds the key to boosting these metrics. To unleash latent performance in FPGA-based inference processors, we outline a convolutional neural network ...
Ephrem Wu, Xiaoqian Zhang, David Berman, Inkeun Cho, John Thendean   +4 more
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Computational Neural Networks

1992
Research on neural network modeling has a long history. Neurobiologists have discovered individual nerve cells existing in the brain and learned how neurons carry information, transmit information, and respond to various stimuli. Based on the understanding of the nervous system, many neural networks have been proposed by researchers.
Yi-Tong Zhou, Rama Chellappa
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Computational Neural Networks

2007
Brain function remains one of the most elusive and fascinating phenomena challenging modem science (Churchland, 1986). Although a lot is already known about the neuron and its functional characteristics, when we address the information-processing capabilities of a neural assembly, called here the mesoscopic description (Freeman, 1975), more often than ...
Dongming Xu, Bryan Davis, Mustafa Ozturk, Liping Deng, Mark Skowronski, John G. Harris, Walter J. Freeman, Jose C. Principe   +7 more
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Fuzzy logic, neural networks and soft computing

Microprocessing and Microprogramming, 1993
The past few years have witnessed a rapid growth of interest in a cluster of modes of modeling and computation which may be described collectively as soft computing. The distinguishing characteristic of soft computing is that its primary aims are to achieve tractability, robustness, low cost, and high MIQ (machine intelligence quotient) through an ...
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Convolutional Neural Networks in Computer Vision for Grain Crop Phenotyping: A Review

Agronomy, 2022
Wen-Hao Su
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Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Sensors, 2021
Guoming Li, Yang Zhao, Yanbo Huang
exaly  

Neural Architecture Search Survey: A Computer Vision Perspective

Sensors, 2023
Jin Kyu Kang, Kwang-Woo Jeon, Jeon-Seong Kang   +2 more
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