Check out our new review paper on generative models and abstractions for large-scale neuroanatomy datasets [Link to Current Opinion Article]. This review is part of a special issue on Machine Learning, Big Data, and Neuroscience.
Author: Eva Dyer
Excited to be awarded a Alfred P. Sloan Foundation Fellowship in Neuroscience! Honored to be one of two fellows from the BME department to be this selected this year, along with Chethan Pandarinath.
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 Webber’s proposal to support her undergrad research in the lab was funded by the Charles I. Hancock Endowed Research Fund. Congrats Alexis!