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.
Eva receives a Sloan Fellowship in Neuroscience
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.
TJ presents his paper at EMBC!
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!
Alexis receives a Charles Hancock Award!
Alexis Webber’s proposal to support her undergrad research in the lab was funded by the Charles I. Hancock Endowed Research Fund. Congrats Alexis!
New paper on brain decoding out!
A new paper from the lab was published in Nature Biomedical Engineering. The paper was also featured in an article in Scientific American!
Allen Institute Next Generation Leader Award
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