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Related Concept Videos

Brain Imaging01:14

Brain Imaging

260
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Related Experiment Video

Updated: Jul 24, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
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Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity.

Reese Kneeland1, Jordyn Ojeda1, Ghislain St-Yves2

  • 1Department of Computer Science, University of Minnesota, Minneapolis MN, 55455.

Arxiv
|July 3, 2023
PubMed
Summary
This summary is machine-generated.

We developed Second Sight, a new method for reconstructing images from brain activity. This approach refines image distributions to improve reconstructions, offering a novel way to explore visual brain representations.

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Area of Science:

  • Neuroscience
  • Computer Vision
  • Machine Learning

Background:

  • Recent advances in large datasets and generative models have spurred progress in brain activity-based image reconstruction.
  • Current methods often focus on single-point estimates, overlooking the inherent ambiguity and family of images compatible with brain activity patterns.

Conclusions:

  • Second Sight offers a novel and effective method for image reconstruction from brain activity.
  • The procedure successfully refines image distributions, leading to high-quality reconstructions.
  • Systematic variations in convergence across visual areas provide insights into representational diversity in the brain.