Mapping minds to machines, USC’s Computational Neuroscience majors analyze BOLD fMRI time-series in Nilearn, model spiking networks on Loihi neuromorphic boards, and compare LSTM attention with hippocampal place-cell firing. Joint seminars with Keck med-school debate FAIR neurodata (FN) and neuro-ethics. Fieldwork spans EEG VR labs to rodent optogenetics, forging graduates versed in both synapses and software stacks.
Deep-learning decoder reconstructing viewed images from fMRI
STDP rule implementation on SpiNNaker cluster
VR maze correlating theta rhythms with navigation strategy
Graph analysis of connectome sparsity across species
Neuro-inspired RL agent solving continuous-control tasks
EEG wearable detecting microsleep in drivers via CNN
Optogenetic closed-loop feedback for seizure suppression
Neuromorphic chip benchmarking energy per synaptic op
Binaural auditory scene model for AR hearing aid
Policy brief on consumer EEG privacy standards
Calcium-imaging segmentation using UNet in PyTorch
Microstate clustering in infant sleep EEG datasets
Edge-AI inference of Parkinsonian tremor from IMU
Neuro-symbolic hybrid model for working-memory tasks
AR educational tool visualizing neuronal action potentials
Decode the brain with code that thinks fast and smart.
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