Harvard’s Neuroscience PhD—joint with MIT—equips scholars to interrogate neural circuits via two-photon imaging, large-scale electrophysiology, and computational modeling. Students decode decision-making in zebrafish, develop brain-machine interfaces for paralysis, and map connectomes with electron microscopy, preparing for breakthroughs in mental health and AI.
Chronic calcium-imaging of prefrontal ensembles during social interaction
Graph neural-network decoding of ECoG speech signals
Optogenetic dissection of fear memory engrams
Automated EM reconstruction of fly olfactory circuits
Closed-loop DBS algorithm adapting to tremor dynamics
Virtual-reality maze probing spatial coding in bats
Proteomic atlas of synaptic plasticity after stroke
Thesis on serotonergic modulation of decision noise
Public art installation sonifying neural data
Ethics discussion on consumer neuro-wearable privacy
Citizen-science game annotating neuronal ultrastructure
Workshop on inclusive mentorship in computational neuroscience
Capstone hackathon building low-cost EEG headsets
Policy brief on equitable access to neurotech therapies
Podcast interviewing patients using BCIs for communication
Interactive web demo teaching spike-sorting algorithms
Probe the neural code to advance cognition, health, and technology.
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