Daniela and Mike attended Neurohackademy – a 2-week summer school in neuroimaging and data science – at the University of Washington eScience Institute in Seattle, WA. After an initial week of lectures (with topics including reproducibility, programming, data/code management, and advanced neuroimaging techniques and analyses), they joined participant-led teams to get hands-on experience applying what they’d learned to existing, openly available, neuroimaging data.
Pictured: The 2022 Neurohackademy cohort
Daniela’s team worked with diffusion MRI to create software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles. Mike’s team applied functional connectivity and multivoxel pattern classification to functional imaging data on a memory task.
Pictured: Mike’s Neurohackademy team
