Eeg2vision Multimodal Eeg Framework 2d Visual

EEG2Vision: Multimodal EEG-Based 2D Visual Reconstruction

Overview

End-to-end framework for reconstructing visual stimuli from non-invasive EEG signals, addressing the challenge of low spatial resolution and high noise in EEG data, particularly under realistic low-density electrode configurations.

Key Innovations

• Systematic evaluation across different EEG resolutions (128, 64, 32 channels)
• Performance characterization for low-density configurations
• Modular architecture for EEG-to-image reconstruction

Architecture Components

1. EEG Feature Extraction: Handle noisy, low-resolution signals
2. Multimodal Fusion: Bridge EEG with visual representations
3. Image Generation: Reconstruct 2D visual stimuli from neural patterns

Applications