NERDS LAB

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Deep Learning for Microscopy Course @ MBL

May 15, 2019 by Eva Dyer

Eva, Aish, and Joe had the opportunity to serve as instructors at the Deep Learning for Microscopy Workshop at the Marine Biological Laboratory (MBL). The course was organized by Jan Funke and Patrick LaRiviere and was funded by the National Center for Brain Mapping at the University of Chicago.

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Review Paper – Generative Models and Abstractions for Neuroanatomy

March 17, 2019 by Eva Dyer

Check out our new review paper on generative models and abstractions for large-scale neuroanatomy datasets [PDF]. This review is part of a special issue on Machine Learning, Big Data, and Neuroscience in Current Opinion in Neurobiology.

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Eva receives a Sloan Fellowship in Neuroscience

March 17, 2019 by Eva Dyer

Eva was awarded a Alfred P. Sloan Foundation Fellowship in Neuroscience! She is honored to be one of two fellows from the BME department to be awarded a Sloan Fellowship, along with Chethan Pandarinath.

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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!

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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!

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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!

 

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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
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