Generic decoding of seen and imagined objects using hierarchical

Generic decoding of seen and imagined objects using hierarchical visual features

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

Generic decoding of seen and imagined objects using hierarchical visual features

Frontiers Category Decoding of Visual Stimuli From Human Brain Activity Using a Bidirectional Recurrent Neural Network to Simulate Bidirectional Information Flows in Human Visual Cortices

Brain Sciences, Free Full-Text

Neural encoding with unsupervised spiking convolutional neural network

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

Reconstructing imagined letters from early visual cortex reveals tight topographic correspondence between visual mental imagery and perception

Reconstructing visual illusory experiences from human brain activity

VAE-Based Generic Decoding via Subspace Partition and Priori Utilization

Frontiers End-to-End Deep Image Reconstruction From Human Brain Activity

Self-Supervised Natural Image Reconstruction and Large-Scale Semantic Classification from Brain Activity