Georgia Tech’s Neuroscience PhD bridges biology, computation, and neuro-engineering. Students build high-density electrode arrays, develop explainable deep-learning spike sorters, and create brain–computer interfaces for motor recovery—publishing in Nature Neuro while spinning startups.
Closed-loop DBS adapting to real-time LFP signatures
Optogenetic CRISPR toolkit mapping memory engrams
Neuromorphic hardware emulator for cortical microcircuits
fNIRS wearable assessing driver cognitive load
Explainable seizure detector for portable ECoG
Bioprinted neural scaffold seeded with iPSC neurons
VR rehabilitation game leveraging mirror-neuron activation
Metabolomic profiling of gut–brain axis modulation
Augmented-reality prosthesis with sensory feedback
Digital twin of hippocampal circuitry for drug screens
Speech-emotion classifier aiding autism interventions
Brain-in-the-loop adaptive music therapy system
Global reaction-time citizen-science smartphone app
Nano-fiber electrode array for high-density recording
AI model predicting cortical plasticity post-stroke
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