18 citations · 23 across the 4 of their papers we have counts for
6 papers · 1 filter
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
Kai Qiao, Chi Zhang, Jian Chen +3
On basis of functional magnetic resonance imaging (fMRI), researchers are devoted to designing visual encoding models to predict the neuron activity of human in response to present…
BigGAN-based Bayesian reconstruction of natural images from human brain activity
Kai Qiao, Jian Chen, Linyuan Wang +3
In the visual decoding domain, visually reconstructing presented images given the corresponding human brain activity monitored by functional magnetic resonance imaging (fMRI) is di…
A visual encoding model based on deep neural networks and transfer learning
Chi Zhang, Kai Qiao, Linyuan Wang +4
Background: Building visual encoding models to accurately predict visual responses is a central challenge for current vision-based brain-machine interface techniques. To achieve hi…
Dissociable neural representations of adversarially perturbed images in convolutional neural networks and the human brain
Chi Zhang, Xiaohan Duan, Linyuan Wang +5
Despite the remarkable similarities between convolutional neural networks (CNN) and the human brain, CNNs still fall behind humans in many visual tasks, indicating that there still…
Constraint-free Natural Image Reconstruction from fMRI Signals Based on Convolutional Neural Network
Chi Zhang, Kai Qiao, Linyuan Wang +3
In recent years, research on decoding brain activity based on functional magnetic resonance imaging (fMRI) has made remarkable achievements. However, constraint-free natural image…
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture
Kai Qiao, Chi Zhang, Linyuan Wang +4
In neuroscience, all kinds of computation models were designed to answer the open question of how sensory stimuli are encoded by neurons and conversely, how sensory stimuli can be…