Title:The road to open neuroscience: from analysis methods to software platforms

Dr. Yaroslav Halchenko, Dartmouth College, US

Abstract

In a pursuit of understanding of high level functions of the brain -how we see, analyze, and react to the world we live in -- neuroscienceheavily relies on technology and advanced data analysis methods.  Withcontemporary instrumental methods for neural imaging(electroencephalography (EEG), magnetic resonance imaging (MRI), etc.)gigabytes of anatomical and functional data are acquired daily. Suchworth of data require advanced analysis methods, heterogeneousplatforms for software deployment, and data management.  Meanwhilethose analysis methods and technologies grow more complex and harderto manage. That impairs ability of researchers to efficiently reuseavailable open resources and to reproduce previous findings.  In thistalk Yaroslav O. Halchenko will present his ongoing projects whichspan from insights in visual perception and methods for the analysisof neuroimaging data to establishing free and open-source platforms toharmonize sharing, deployment and management of data,methods/software, and results.  All of those in a pursuit of makingneuroscience more open, more efficient, and more reproducible.

 This talk will be of interest for anyone reacting to buzz words such as“big data,” “brain decoding,” “data science,” “data sharing,” “opensource,” and “predictive analytics.”

Bio :

Yaroslav O. Halchenko is a research scientist at the Center forCognitive Neuroscience of Dartmouth College, USA.  He received hisM.S.  in opto-electronic engineering from Vinnitsa State University(Ukraine) in 1999, M.S. in Computer Science from University of NewMexico in 2003, and Ph.D. in Computer Science from New JerseyInstitute of Technology in 2009.  During his Ph.D. career he workedwith Dr. Stephen J. Hanson at Rutgers-Newark and moved to Dartmouth in2009 as a postdoctoral fellow to work with Dr. James V. Haxby. He is alead of PyMVPA (http://www.pymvpa.org), NeuroDebian(http://neuro.debian.net), recently NSF-funded DataLad(http://datalad.org), and a newly established DueCredit(http://duecredit.org) projects.  Yaroslav is involved in the INCF taskforce on Standards for Data Sharing, Debian (http://debian.org) andFail2Ban ( http://fail2ban.org) projects, and other initiatives aimingto improve transparency in scientific research. 

Research page/CV:http://haxbylab.dartmouth.edu/ppl/yarik.html.



 

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The road to open neuroscience
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Title:The road to open neuroscience: from analysis methods to software platforms

Dr. Yaroslav Halchenko, Dartmouth College, US

Abstract

In a pursuit of understanding of high level functions of the brain -how we see, analyze, and react to the world we live in -- neuroscienceheavily relies on technology and advanced data analysis methods.  Withcontemporary instrumental methods for neural imaging(electroencephalography (EEG), magnetic resonance imaging (MRI), etc.)gigabytes of anatomical and functional data are acquired daily. Suchworth of data require advanced analysis methods, heterogeneousplatforms for software deployment, and data management.  Meanwhilethose analysis methods and technologies grow more complex and harderto manage. That impairs ability of researchers to efficiently reuseavailable open resources and to reproduce previous findings.  In thistalk Yaroslav O. Halchenko will present his ongoing projects whichspan from insights in visual perception and methods for the analysisof neuroimaging data to establishing free and open-source platforms toharmonize sharing, deployment and management of data,methods/software, and results.  All of those in a pursuit of makingneuroscience more open, more efficient, and more reproducible.

 This talk will be of interest for anyone reacting to buzz words such as“big data,” “brain decoding,” “data science,” “data sharing,” “opensource,” and “predictive analytics.”

Bio :

Yaroslav O. Halchenko is a research scientist at the Center forCognitive Neuroscience of Dartmouth College, USA.  He received hisM.S.  in opto-electronic engineering from Vinnitsa State University(Ukraine) in 1999, M.S. in Computer Science from University of NewMexico in 2003, and Ph.D. in Computer Science from New JerseyInstitute of Technology in 2009.  During his Ph.D. career he workedwith Dr. Stephen J. Hanson at Rutgers-Newark and moved to Dartmouth in2009 as a postdoctoral fellow to work with Dr. James V. Haxby. He is alead of PyMVPA (http://www.pymvpa.org), NeuroDebian(http://neuro.debian.net), recently NSF-funded DataLad(http://datalad.org), and a newly established DueCredit(http://duecredit.org) projects.  Yaroslav is involved in the INCF taskforce on Standards for Data Sharing, Debian (http://debian.org) andFail2Ban ( http://fail2ban.org) projects, and other initiatives aimingto improve transparency in scientific research. 

Research page/CV:http://haxbylab.dartmouth.edu/ppl/yarik.html.