Georgia Tech’s Neuroscience BS positions students at the intersection of biology, data science, and neuro-engineering. Courses in cellular neurophysiology, computational modeling, and brain-machine interfaces culminate in labs where undergrads patch-clamp neurons, train deep-learning seizure detectors, and print neural scaffolds with bio-inks. Clinical partnerships with Emory and the Atlanta VA give students rare access to intracranial-EEG cases and VR-based PTSD therapies. Whether aspiring to med school, neuro-AI startups, or PhD research, graduates emerge fluent in both synaptic signaling and Pythonic spike-sorting.
EEG-based attention tracker for adaptive online learning platforms
Optogenetic CRISPR toolkit for investigating memory engrams in zebrafish
Closed-loop DBS controller minimizing Parkinsonian tremor
fNIRS wearable measuring driver cognitive load in real traffic
Neural-network model predicting cortical plasticity post-stroke
VR rehabilitation game leveraging mirror-neuron activation
Bioprinted neural tissue scaffold seeded with iPSC-derived neurons
Explainable-AI seizure-onset detector for portable ECoG devices
Morphometric MRI analysis of adolescent brain aging under pollution exposure
Brain-inspired spiking-neural-network accelerator on neuromorphic hardware
Augmented-reality prosthetic limb with sensory feedback via TENS
Metabolomic profiling of gut-brain axis modulation by diet
Digital twin of hippocampal circuitry for Alzheimer’s drug screening
Speech-emotion classifier aiding autism social-skills training
Crowdsourced smartphone app collecting reaction-time data across the globe
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