Models of primate ventral stream that categorize and visualize images
We show that computational models that identify objects while also retaining enough information about the input image to allow its reconstruction, can provid...
Hey! I'm Elijah Christensen 
I'm a former full-stack software developer turned computational neuroscientist and medical student at the University of Colorado Anschutz.
My current research interests lie at the intersection of machine learning and neuroscience but I also enjoy photography and data science. You can see recent publications below, a full list in the publications section, or my complete CV.
Publications
Inferring sleep stage from local field potentials recorded in the subthalamic nucleus of Parkinson’s patients
We trained a feedforward neural network to prospectively identify sleep stage with PSG‐level accuracy from 30‐s epochs of LFP recordings in human PD patients
Using deep learning to reveal the neural code for images in primary visual cortex
We train deep convolutional neural networks to predict the firing rates of V1 neurons in response to natural images
Multiplexed inkjet functionalization of silicon photonic biosensors
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