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Week 14: Future & Final Projects

The final week synthesizes the physical principles, methodological pipelines, and clinical applications covered across the course. Students present their independent neuroimaging research proposals and discuss the future of machine learning, open science, and big data connectomics.

Interactive Demos & Activities

• Interactive Spike Sorting (MUA to SUA)

  Machine Learning in Electrophysiology · Clustering

  Experiment with unsupervised K-Means clustering in waveform feature space (amplitude vs. width) to isolate single units from multi-unit recordings, illustrating algorithmic classification in neuroscience.

• Neuroimaging Dichotomous Key (Course Review)

  Comprehensive Capstone Review Tool

  Return to the dichotomous key to review the physical, operational, and clinical boundaries separating every major neuroimaging modality learned this semester.

• NBL 425 Modality Games Hub

  Study & Self-Assessment Portal

  Complete the full set of modality games (MRI, PET, EEG, MEG) for comprehensive final exam preparation and project review.

Topics Covered

• Machine Learning & Deep Learning in Neuroimaging: Convolutional neural networks for automated lesion segmentation, synthetic contrast generation, and denoising.
• The Open Science & Big Data Revolution: The Human Connectome Project (HCP), UK Biobank, BIDS standardization, and addressing reproducibility and statistical power in large cohorts.
• Student Project Presentations: Symposium of student-developed imaging protocols, research grants, and clinical translation proposals.