8 citations · 19 across the 4 of their papers we have counts for
4 papers
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Qi Yan, Yajing Zheng, Shanshan Jia +6
Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for the visual system in neuroscience.…
Revealing structure components of the retina by deep learning networks
Qi Yan, Zhaofei Yu, Feng Chen +1
Deep convolutional neural networks (CNNs) have demonstrated impressive performance on visual object classification tasks. In addition, it is a useful model for predication of neuro…
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling
Zhaofei Yu, David Kappel, Robert Legenstein +3
Synaptic plasticity is implemented and controlled through over thousand different types of molecules in the postsynaptic density and presynaptic boutons that assume a staggering ar…
Sampling-based Causal Inference in Cue Combination and its Neural Implementation
Zhaofei Yu, Feng Chen, Jianwu Dong +1
Causal inference in cue combination is to decide whether the cues have a single cause or multiple causes. Although the Bayesian causal inference model explains the problem of causa…