Generic decoding of seen and imagined objects using hierarchical

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2310.19812] Brain decoding: toward real-time reconstruction of visual perception

Generic decoding of seen and imagined objects using hierarchical visual features

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Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning - ScienceDirect

Multimodal deep neural decoding reveals highly resolved spatiotemporal profile of visual object representation in humans - ScienceDirect

Reassessing hierarchical correspondences between brain and deep networks through direct interface

Generative Feedback Explains Distinct Brain Activity Codes for Seen and Mental Images - ScienceDirect

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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

Mental image reconstruction from human brain activity

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

No Evidence for Neural Overlap between Unconsciously Processed and Imagined Stimuli

Reconstructing visual illusory experiences from human brain activity

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