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fMRI

4 articles · Page 1 of 1
Machine Heart
Machine Heart
Jun 12, 2026 · Artificial Intelligence

NeuroFlow: A Unified Visual‑Neural Bidirectional Model Presented at CVPR 2026

NeuroFlow introduces a reversible flow architecture that jointly learns visual encoding and neural decoding, overcoming the long‑standing split between these tasks, and achieves superior image reconstruction, consistent bidirectional mapping, realistic fMRI‑based neural signals, and efficient training on the large‑scale NSD dataset.

CVPR 2026NeuroFlowVariational Autoencoder
0 likes · 11 min read
NeuroFlow: A Unified Visual‑Neural Bidirectional Model Presented at CVPR 2026
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jan 23, 2024 · Artificial Intelligence

Controllable Mind Visual Diffusion Model (CMVDM) for Reconstructing Visual Stimuli from fMRI Signals

The Controllable Mind Visual Diffusion Model (CMVDM) decodes fMRI signals into semantic vectors and silhouette maps, feeds them into a latent diffusion framework with a ControlNet‑style encoder, and reconstructs high‑fidelity images that surpass existing baselines in both structural similarity and semantic accuracy across multiple brain‑imaging datasets.

AINeuroscienceVisual Reconstruction
0 likes · 13 min read
Controllable Mind Visual Diffusion Model (CMVDM) for Reconstructing Visual Stimuli from fMRI Signals
TAL Education Technology
TAL Education Technology
Jul 9, 2020 · Fundamentals

Overview of Nuclear Brain Imaging Techniques: PET, MRI, and fMRI

This article provides a comprehensive overview of three nuclear brain imaging modalities—positron emission tomography (PET), magnetic resonance imaging (MRI), and functional MRI (fMRI)—detailing their physical principles, imaging mechanisms, advantages, limitations, and applications in neuroscience and clinical diagnostics.

/petMRIbrain imaging
0 likes · 14 min read
Overview of Nuclear Brain Imaging Techniques: PET, MRI, and fMRI