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Huajin Tang

Showing results (1-10 of 73) with videos related to

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Cognitive Neurodynamics|March 2, 2012
Online learning and stimulus-driven responses of neurons in visual cortexHuajin Tang, Haizhou Li, Zhang Yi
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
Real-time keypoint recognition using restricted Boltzmann machineMiaolong Yuan, Huajin Tang, Haizhou Li
Frontiers in Computational Neuroscience|April 5, 2021
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine LearningLei Deng, Huajin Tang, Kaushik Roy
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Dynamics analysis of a population decoding modelJiali Yu, Huajin Tang, Haizhou Li
Frontiers in Computational Neuroscience|October 18, 2024
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume IILei Deng, Huajin Tang, Kaushik Roy
IEEE Transactions on Neural Networks and Learning Systems|November 1, 2021
Spiking Deep Residual NetworksYangfan Hu, Huajin Tang, Gang Pan
Neural Computation|March 19, 2010
Memory dynamics in attractor networks with saliency weightsHuajin Tang, Haizhou Li, Rui Yan
IEEE Transactions on Neural Networks|July 28, 2010
A discrete-time neural network for optimization problems with hybrid constraintsHuajin Tang, Haizhou Li, Zhang Yi
Patterns (New York, N.Y.)|October 25, 2023
Exploiting noise as a resource for computation and learning in spiking neural networksGehua Ma, Rui Yan, Huajin Tang
IEEE Transactions on Neural Networks|November 30, 2004
A columnar competitive model for solving combinatorial optimization problemsHuajin Tang, K C Tan, Zhang Yi
Pageof 8

Showing results (1-10 of 73) with videos related to

Sort By:
Pageof 8
Cognitive Neurodynamics|March 2, 2012
Online learning and stimulus-driven responses of neurons in visual cortexHuajin Tang, Haizhou Li, Zhang Yi
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
Real-time keypoint recognition using restricted Boltzmann machineMiaolong Yuan, Huajin Tang, Haizhou Li
Frontiers in Computational Neuroscience|April 5, 2021
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine LearningLei Deng, Huajin Tang, Kaushik Roy
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Dynamics analysis of a population decoding modelJiali Yu, Huajin Tang, Haizhou Li
Frontiers in Computational Neuroscience|October 18, 2024
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume IILei Deng, Huajin Tang, Kaushik Roy
IEEE Transactions on Neural Networks and Learning Systems|November 1, 2021
Spiking Deep Residual NetworksYangfan Hu, Huajin Tang, Gang Pan
Neural Computation|March 19, 2010
Memory dynamics in attractor networks with saliency weightsHuajin Tang, Haizhou Li, Rui Yan
IEEE Transactions on Neural Networks|July 28, 2010
A discrete-time neural network for optimization problems with hybrid constraintsHuajin Tang, Haizhou Li, Zhang Yi
Patterns (New York, N.Y.)|October 25, 2023
Exploiting noise as a resource for computation and learning in spiking neural networksGehua Ma, Rui Yan, Huajin Tang
IEEE Transactions on Neural Networks|November 30, 2004
A columnar competitive model for solving combinatorial optimization problemsHuajin Tang, K C Tan, Zhang Yi
Pageof 8