Feng Chen

发表

Noise Helps Optimization Escape From Saddle Points in the Synaptic Plasticity

Zhaofei Yu, Feng Chen, Ying Fang, 2020, Frontiers in Neuroscience.

Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping

Yi Wang, Qiang Cheng, Feng Chen, 2015, IEEE Transactions on Medical Imaging.

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All

Qi Yan, Keke Huang, Zhaofei Yu, 2020, IEEE Transactions on Cybernetics.

CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling

David Kappel, Wolfgang Maass, Sen Song, 2016 .

A unified neural circuit of causal inference and multisensory integration

Zhaofei Yu, Jian K. Liu, Feng Chen, 2019, Neurocomputing.

Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high‐resolution MRI data

Dong Zhou, Zhaofei Yu, Tian Liu, 2017, Magnetic resonance in medicine.

Hamiltonian synaptic sampling in a model for reward-gated network plasticity pdf

David Kappel, Robert A. Legenstein, Wolfgang Maass, 2016, ArXiv.

Noise helps optimization escape from saddle points in the neural dynamics

Zhaofei Yu, Feng Chen, Ying Fang, 2019, ESANN.

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks

Jian K. Liu, Yonghong Tian, Tiejun Huang, 2018, IEEE Transactions on Cybernetics.

Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks

Zhaofei Yu, Fei Deng, Feng Chen, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks

Zhaofei Yu, Jian K. Liu, Feng Chen, 2020, IEEE Transactions on Cognitive and Developmental Systems.