NERDS LAB

  • About
  • Research
    • Papers
    • Code / Data
  • People
    • Lab Members
    • PI-Profile
  • News
  • Contact Us

TJ presents his paper at EMBC!

July 30, 2018 by Eva Dyer

TJ presented his new paper on using sparse approximation methods for estimating layers in cortical and retinal tissue samples at IEEE’s Engineering in Medicine and Biology Conference. Way to go TJ!

Filed Under: Posts

Alexis receives a Charles Hancock Award!

July 10, 2018 by Eva Dyer

Alexis Webber’s proposal to support her undergrad research in the lab was funded by the Charles I. Hancock Endowed Research Fund. Congrats Alexis!

Filed Under: Posts

New paper on brain decoding out!

December 27, 2017 by Eva Dyer

A new paper from the lab was published in Nature Biomedical Engineering. The paper was also featured in an article in Scientific American!

 

Filed Under: Posts

Allen Institute Next Generation Leader Award

November 9, 2017 by Eva Dyer

[Read more…]

Filed Under: Posts

NerDS Lab research in the news!

October 29, 2017 by Eva Dyer

Our recent eNeuro paper on X-ray microtomography-based brain mapping was featured in Newsweek! Check out the full article, written by Ben Brumfield at Georgia Tech!

 

Filed Under: Posts

BigNeuro 2017 @ NIPS

September 12, 2017 by Eva Dyer

Please join us for our second BigNeuro workshop at NIPS! The workshop will be held on December 9th, 2017 as part of the NIPS workshop series. We will be accepting submissions for posters and contributed talks. More info to follow soon!

Filed Under: Posts

  • « Previous Page
  • 1
  • …
  • 5
  • 6
  • 7
  • 8
  • Next Page »

Recent Posts

  • NeurIPS 2024: Revealing connections between contrastive learning and optimal transport January 1, 2025
  • ICML 2024: Unveiling class disparities with spectral imbalance July 9, 2024
  • ICLR 2024: New work on data-adaptive position embeddings for timeseries transformers June 3, 2024
  • Check out this new visualization tool for behavior modeling! May 9, 2024
  • New paper on the theory of data augmentation in JMLR! April 8, 2024
  • New paper on data-adaptive latent augmentation to appear at WACV! January 6, 2024
IMG_2521
  • About
  • Research
  • People
  • News
  • Contact Us

Copyright © 2025 · Minimum Pro on Genesis Framework · WordPress · Log in