mlsanityData to 13 Oct 2026

Dual-Stream EEG Decoding for 3D Visual Perception

arXiv 2606.22182 ↗First posted 20 Jun 2026cs.CV cs.AIcited by 0

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Abstract (arXiv)

This paper explores a novel brain decoding model for 3D shape perception through a dual pathway architecture mirroring biological vision. Our bio-inspired approach implements separate decoding modules for object identity and spatial orientation, inspired by ventral and dorsal pathways, during continuous rotations. We employ circular regression for angle prediction and develop EEG-conditioned multiview diffusion for 3D reconstruction. Our approach successfully decodes both object identity and spatial orientation from EEG signals and enables 3D reconstruction from neural activity, with interpretability analyses revealing temporally structured involvement of ventral, dorsal, and motor-related channels rather than a static ventral dominance in supporting object and angle decoding.

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References · 15

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,231
  2. 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,713
  3. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,686
  4. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,039
  5. 2020Point Transformercited by 1,465
  6. 2018ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustnesscited by 1,430
  7. 2016Geometric deep learning: going beyond Euclidean datacited by 1,045
  8. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 931
  9. 2018Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point cloudscited by 739
  10. 20183D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Datacited by 350
  11. 2014Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathwaycited by 93
  12. 2024Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusioncited by 80
3 more
  1. 2024Neuro-3D: Towards 3D Visual Decoding from EEG Signalscited by 23
  2. 2023MinD-3D: Reconstruct High-quality 3D objects in Human Braincited by 11
  3. 2025Human-Aligned Image Models Improve Visual Decoding from the Braincited by 7

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