NeuralBench is a new benchmarking framework for neuroAI models on EEG data that finds foundation models only marginally outperform task-specific ones while many tasks like cognitive decoding stay highly challenging.
arXiv preprint arXiv:2212.02409 , year=
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MindDiffuser is a two-stage framework that improves semantic and structural fidelity in reconstructing visual stimuli from fMRI, EEG, and MEG signals using CLIP embeddings and Stable Diffusion with backpropagation refinement.
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NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
NeuralBench is a new benchmarking framework for neuroAI models on EEG data that finds foundation models only marginally outperform task-specific ones while many tasks like cognitive decoding stay highly challenging.
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Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity
MindDiffuser is a two-stage framework that improves semantic and structural fidelity in reconstructing visual stimuli from fMRI, EEG, and MEG signals using CLIP embeddings and Stable Diffusion with backpropagation refinement.