Dear all,
This Friday, Devon Hjelm (University of New Mexico) will visit the lab and tell us about how deep learning has helped and will help us understand "how brain works".
He will be at the lab already from early Friday until later in the afternoon. If you're interested in talking to him about his or your research, feel free to email me in advance. I will try to arrange meetings. For your info, he's used RBM, DBM and DBN and is interested in applying NICE (!), VAE and NICE. Also, he's an active user of pylearn2.
Hope to see many of you there! - K
=== Speaker: Devon Hjelm, University of New Mexico & Mind Research Network Date/time: 17 April 2015 @14.00 Place: AA3195 Title: DEEP LEARNING FOR NEUROIMAGING Abstract: The human brain did much to influence early approaches to neural networks; in return, how has deep learning helped in our understanding of the brain? In this talk, I will cover some of the available data resources for neuroimaging, including practical challenges and goals. I will then cover some recent deep learning successes and future approaches, most notably those that improve our understanding of the data and the subjects they are collected from. Finally, I will introduce some current research directions within MRN in collaboration with LISA and the University of Toronto.
Bio: Devon Hjelm has been a PhD student at the University of New Mexico and the Mind Research Network since 2013. His primary research goals include using deep learning to build generative representations of the brain.
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