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University of Cambridge > Talks.cam > Making connections- brains and other complex systems > Quantifying Brain Dynamics and Structure Across Scales
Quantifying Brain Dynamics and Structure Across ScalesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Sarah Morgan. I will discuss a range of recent methods we’ve used to quantify patterns in human and mouse brain-imaging data. In the first half of the talk, I’ll present some work showing how neural dynamics can be usefully encoded as a diverse, interpretable feature vector using highly comparative time-series analysis. I will highlight some recent applications of this approach to human and mouse fMRI datasets, and describe the tools we’ve developed to allow other researchers to use similar methods on their data. In the second half of the talk I’ll discuss research we’ve done into the brain’s spatial heterogeneity by combining gene-expression, connectivity, and other structural data. I’ll highlight some of the key lessons we’ve learned from working with gene-expression atlas data in mouse and human. This talk is part of the Making connections- brains and other complex systems series. This talk is included in these lists:
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