UIUC’s Neuroscience PhD bridges molecular circuits and cognitive computation. Candidates map whole-brain connectomes with light-sheet microscopy, engineer closed-loop optogenetics for Parkinson’s models, and decode intent from intracortical arrays in the Beckman NeuroTech Hub. Coursework in neuroethics and translational design ensures discoveries reach clinics responsibly.
Deep-learning segmentation of terabyte-scale EM datasets
CRISPRa modulation of microglial inflammation in Alzheimer’s
Hybrid fMRI-EEG model predicting cognitive fatigue in esports athletes
Flexible graphene electrode array for long-term BCI implantation
Gut–brain axis metabolomics under high-fiber intervention
Policy memo on neural data privacy for consumer wearables
Spiking-neural-network control of robotic prosthetic fingers
Closed-loop DBS adapting to beta-band biomarkers in real time
Virtual-reality maze assessing spatial memory post-TBI
Grant proposal for AI-assisted autism early-screening via gaze tracking
Transcranial photo-stimulation protocol optimizing mitochondrial function
Network analysis of social-media stress contagion on teen sleep
White paper on equitable access to advanced neuro-tech therapies
Citizen-science app collecting environmental noise and tinnitus data
Optogenetic dissection of cerebellar contribution to language
Probe, decode, and heal the brain with UIUC Neuroscience.
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