From ed.vessel at nyu.edu Fri Nov 1 11:11:21 2013 From: ed.vessel at nyu.edu (Ed Vessel) Date: Fri, 1 Nov 2013 11:11:21 -0400 Subject: [CBIAnnounce] 3:30pm today: Jonathan Winawer Message-ID: <2243BEAD-4B1D-460B-8F63-C3E0A4E466DA@nyu.edu> NYU Center for Brain Imaging Fall 2013 Seminar Series Friday, November 1 3:30 - 4:30pm Meyer 815 Jonathan Winawer (Assistant Professor of Psychology and Neural Science) "GLMdenoise: A fast, Automated Technique for Denoising Task-Based fMRI Data" Jonathan Winawer will present an algorithm, called GLMdenoise, for effectively reducing global noise sources in fMRI data. He will explain the logic of the algorithm and show how it performs on several data sets, and will compare its performance to other denoising methods, including methods based on ICA, motion regressors, and physiological measures obtained during scanning (RETROICOR/RVHRCOR). The code was developed with colleagues at Stanford, led by Kendrick Kay, and is freely available online (http://kendrickkay.net/GLMdenoise/). A paper based on the method is currently under review for publication: Kay KN, Rokem A, Winawer J, Dougherty RF, Wandell BA. GLMdenoise: A fast, automated technique for denoising task-based fMRI data. NOTE: Beer will be available for those able to contribute towards the "beer fund" ** Please also mark your calendars for the following future date: Friday, December 13 3:30 - 4:30pm Meyer 815 Hiromasa Takemura (Wandell Lab, Stanford University) " A Major White-Matter Communication Pathway Between Dorsal and Ventral Streams in Humans" -- Ed Vessel Center for Brain Imaging New York University ed.vessel at nyu.edu 4 Washington Place, Rm. 156 New York, NY 10003 http://www.cns.nyu.edu/~vessel (212) 998-8217 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ed.vessel at nyu.edu Fri Nov 1 15:22:26 2013 From: ed.vessel at nyu.edu (Ed Vessel) Date: Fri, 1 Nov 2013 15:22:26 -0400 Subject: [CBIAnnounce] IN 10 MINUTES: Jonathan Winawer Message-ID: On Nov 1, 2013 11:11 AM, "Ed Vessel" wrote: > > NYU Center for Brain Imaging > Fall 2013 Seminar Series > > > Friday, November 1 > 3:30 - 4:30pm > Meyer 815 > > Jonathan Winawer (Assistant Professor of Psychology and Neural Science) > "GLMdenoise: A fast, Automated Technique for Denoising Task-Based fMRI Data" > > Jonathan Winawer will present an algorithm, called GLMdenoise, for effectively reducing global noise sources in fMRI data. He will explain the logic of the algorithm and show how it performs on several data sets, and will compare its performance to other denoising methods, including methods based on ICA, motion regressors, and physiological measures obtained during scanning (RETROICOR/RVHRCOR). > The code was developed with colleagues at Stanford, led by Kendrick Kay, and is freely available online (http://kendrickkay.net/GLMdenoise/). A paper based on the method is currently under review for publication: > > Kay KN, Rokem A, Winawer J, Dougherty RF, Wandell BA. GLMdenoise: A fast, automated technique for denoising task-based fMRI data. > > > NOTE: Beer will be available for those able to contribute towards the "beer fund" > > ** Please also mark your calendars for the following future date: > > Friday, December 13 > 3:30 - 4:30pm > Meyer 815 > > Hiromasa Takemura (Wandell Lab, Stanford University) > " A Major White-Matter Communication Pathway Between Dorsal and Ventral Streams in Humans" > > -- > Ed Vessel > Center for Brain Imaging > New York University > ed.vessel at nyu.edu > 4 Washington Place, Rm. 156 > New York, NY 10003 > http://www.cns.nyu.edu/~vessel > (212) 998-8217 > > > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From ed.vessel at nyu.edu Tue Nov 26 18:30:29 2013 From: ed.vessel at nyu.edu (Ed Vessel) Date: Tue, 26 Nov 2013 18:30:29 -0500 Subject: [CBIAnnounce] CBI talk: 12/13, Hiromasa Takemura, A Major White-Matter Communication Pathway Between Dorsal and Ventral Streams in Humans Message-ID: CBI Talk: Hiromasa Takemura (Wandell Lab, Stanford University) Friday, December 13 3:30pm - 4:30pm Meyer 815 Please email jonathan.winawer at nyu.edu if you would like to meet with Hiromasa during his visit. A Major White-Matter Communication Pathway Between Dorsal and Ventral Streams in Humans Human visual cortex comprises many visual field maps organized into clusters. Several theories have been proposed to characterize the organization of these visual field maps. A key theory with substantial support distinguished between maps located relatively dorsal and those located relatively ventral. According to this theory, the ventral maps is mainly engaged in interpreting the properties of color, form and objects whereas the dorsal maps is engaged in interpreting spatial organization and guiding actions. In this talk, I will focus on how ventral and dorsal maps communicate through white-matter pathways. We combined fMRI, diffusion MRI and fiber tractography to identify the anatomical properties of the only known candidate white-matter pathway connecting dorsal and ventral maps, the Vertical Occipital Fasciculus (VOF). The VOF is little discussed in the vision literature, yet it may be the crucial pathway transmitting signals between these two important streams. We used model-based method to assess the statistical evidence supporting the several aspects of the VOF wiring pattern. There is strong evidence supporting the hypothesis that dorsal and ventral visual field maps communicate through the VOF. The organization of the VOF suggests that the dorsal and ventral maps communicate substantial information through V3A/B and hV4/VO-1. We suggest that the VOF is crucial for transmitting signals between regions that encode object properties including form, identify and color and regions that map spatial information. (In collaboration with Brian A. Wandell, Franco Pestilli, Ariel Rokem, Jason D. Yeatman at Stanford and Jonathan Winawer at NYU) -- Ed Vessel Center for Brain Imaging New York University ed.vessel at nyu.edu 4 Washington Place, Rm. 156 New York, NY 10003 http://www.cns.nyu.edu/~vessel (212) 998-8217 -------------- next part -------------- An HTML attachment was scrubbed... URL: