Northwestern’s Interdisciplinary Neuroscience PhD unites cellular neurobiology, cognitive science, and computational modeling. Doctoral candidates perform two-photon imaging of dendritic plasticity, decode dream states with fMRI deep-nets, and engineer optogenetic interfaces restoring movement post-stroke. Ethics and science-communication seminars prepare graduates for academia, neurotech R&D, and policy advising.
Map resting-state network maturation in preterm infants with graph theory
Develop closed-loop DBS algorithms for treatment-resistant depression
Quantify astrocyte calcium waves in seizure propagation using light-sheet microscopy
Model hippocampal place-cell remapping with deep reinforcement learning
Investigate gut-microbiome modulation of social behavior in germ-free mice
Create a VR navigation task probing spatial memory in Alzheimer’s patients
Engineer wireless nano-LEDs for targeted optogenetic spinal-cord stimulation
Analyze songbird vocal-learning circuits with single-cell multi-omics
Build federated brain-MRI datasets preserving privacy across hospitals
Study dopamine prediction-error signals during VR economic-game tasks
Develop EEG wearable algorithms predicting migraine onset in real time
Examine neuroimmune interactions in stress-induced depression models
Prototype haptic neurofeedback to enhance phantom-limb rehabilitation
Use Bayesian deconvolution to infer synaptic release probability from calcium traces
Write a policy white paper on ethical guidelines for consumer neurotech devices
Explore brain function and innovates therapies with Northwestern’s Neuroscience PhD.
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