UMD’s PhD in Neuroscience offers interdisciplinary training in systems neuroscience, cognitive neuroscience, neuroengineering, and neuroinformatics. Students work with faculty across biology, psychology, engineering, and computer science to understand brain function and dysfunction.
Electrophysiological analysis of neural encoding in the visual cortex
Computational modeling of hippocampal memory consolidation
Study of glial cell involvement in synaptic plasticity
Development of AI algorithms for decoding neural spike trains
Investigation of sleep-related neural oscillations in mice
Longitudinal study of cognitive decline in aging populations
Dissertation on multisensory integration in the auditory pathway
Functional MRI analysis of working memory in bilingual individuals
Analysis of connectomics data to map synaptic connectivity
Use of optogenetics to study decision-making in rodents
Brain-machine interface development for prosthetic control
Neuroinflammatory responses in traumatic brain injury models
Study of visual attention mechanisms using EEG
Neurofeedback training for anxiety regulation
Development of neuromorphic hardware for real-time brain simulation
Neuroethology project on spatial navigation in bats
CRISPR-based manipulation of neural genes involved in learning
Language comprehension research using event-related potentials
Neural basis of social behavior in primates
Dopaminergic circuit modeling in reward-based learning
Explore brain function across scales with interdisciplinary research in UMD’s Neuroscience PhD.
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