russpoldrack.org

russpoldrack.org

Sunday, March 16, 2014. 532 days of self-examination. Last Tuesday we collected the final MRI scan and blood draw for the MyConnectome. Here I am emerging from the scanner on March 11, after the 104th MRI scan (photo: Mei-Yen Chen). The study started on 9/25/2012 and ended on 3/11/2014, for a total of 532 days. During this time we performed 104 MRI scanning sessions and 48 blood draws. After excluding some of the data for quality control we are left with:. 88 resting state fMRI scans. 15 N-back task scans.

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russpoldrack.org | russpoldrack.org Reviews

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Sunday, March 16, 2014. 532 days of self-examination. Last Tuesday we collected the final MRI scan and blood draw for the MyConnectome. Here I am emerging from the scanner on March 11, after the 104th MRI scan (photo: Mei-Yen Chen). The study started on 9/25/2012 and ended on 3/11/2014, for a total of 532 days. During this time we performed 104 MRI scanning sessions and 48 blood draws. After excluding some of the data for quality control we are left with:. 88 resting state fMRI scans. 15 N-back task scans.

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russpoldrack.org | russpoldrack.org Reviews

https://russpoldrack.org

Sunday, March 16, 2014. 532 days of self-examination. Last Tuesday we collected the final MRI scan and blood draw for the MyConnectome. Here I am emerging from the scanner on March 11, after the 104th MRI scan (photo: Mei-Yen Chen). The study started on 9/25/2012 and ended on 3/11/2014, for a total of 532 days. During this time we performed 104 MRI scanning sessions and 48 blood draws. After excluding some of the data for quality control we are left with:. 88 resting state fMRI scans. 15 N-back task scans.

INTERNAL PAGES

russpoldrack.org

1

russpoldrack.org: October 2011

http://www.russpoldrack.org/2011_10_01_archive.html

Tuesday, October 4, 2011. NYT Letter to the Editor: The uncut version. The NY Times has now printed our letter to the editor. Regarding the Lindstrom article. However, the published version is an edited and shortened version of our original letter, which I am posting here for the record. Regarding a similar Op-Ed piece in 2007. Russell Poldrack, Ph.D., University of Texas at Austin. Geoffrey K Aguirre, M.D., Ph.D., University of Pennsylvania. Adam Aron, Ph.D., University of California at San Diego. Chris...

2

russpoldrack.org: February 2013

http://www.russpoldrack.org/2013_02_01_archive.html

Wednesday, February 20, 2013. Anatomy of a coding error. A few days ago, one of the students who I collaborate with found a very serious mistake in some code that I had written. The code (which is openly available through my github repo. Performed a classification analysis using the data from a number of studies from the openfmri. Project, and the results are included in a paper that is currently under review. None of us likes to admit mistakes, but it's clear that they happen often. Out[9]: (182609, 400).

3

russpoldrack.org: A discussion of causal inference on fMRI data

http://www.russpoldrack.org/2013/12/a-discussion-of-causal-inference-on.html

Thursday, December 19, 2013. A discussion of causal inference on fMRI data. My facebook page was recently home to an interesting discussion about causal inference that was spurred by a recent article that I retweeted:. Effective connectivity or just plumbing? Granger Causality estimates highly reliable maps of venous drainage. Retweeted by Russ Poldrack. Latencies due to veins 1 to 4 sec. Latencies due to neurons 300 ms. Vein latency variation over space dominates. December 16 at 8:15pm. In terms of hemo...

4

russpoldrack.org: 532 days of self-examination

http://www.russpoldrack.org/2014/03/532-days-of-self-examination.html

Sunday, March 16, 2014. 532 days of self-examination. Last Tuesday we collected the final MRI scan and blood draw for the MyConnectome. Here I am emerging from the scanner on March 11, after the 104th MRI scan (photo: Mei-Yen Chen). The study started on 9/25/2012 and ended on 3/11/2014, for a total of 532 days. During this time we performed 104 MRI scanning sessions and 48 blood draws. After excluding some of the data for quality control we are left with:. 88 resting state fMRI scans. 15 N-back task scans.

5

russpoldrack.org: December 2012

http://www.russpoldrack.org/2012_12_01_archive.html

Sunday, December 16, 2012. The perils of leave-one-out crossvalidation for individual difference analyses. For a thorough discussion of this issue). To see an example of this fleshed out in an ipython notebook, visit http:/ nbviewer.ipython.org/4221361/. The full code is also available at https:/ github.com/poldrack/regressioncv. And found them to do a fairly good job of removing bias in the null distributions, but it's clear from these simulations that bias can still remain. And performed a crossvalidat...

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practicalfmri.blogspot.com

practiCal fMRI: the nuts & bolts: Review: Using a bias field map to improve motion correction of EPI time series

https://practicalfmri.blogspot.com/2012/11/review-using-bias-field-map-to-improve.html

PractiCal fMRI: the nuts and bolts. Education, tips and tricks to help you conduct better fMRI experiments. Sure, you can try to fix it during data processing, but you're usually better off fixing the acquisition! Wednesday, November 14, 2012. Review: Using a bias field map to improve motion correction of EPI time series. In a new paper entitled "Effects of image contrast on functional MRI image registration,". Images were acquired on a 3 T GE HDx scanner. For the time series EPI measurements the stu...

practicalfmri.blogspot.com

practiCal fMRI: the nuts & bolts: Functional MRI of trained dogs

https://practicalfmri.blogspot.com/2015/07/functional-mri-of-trained-dogs.html

PractiCal fMRI: the nuts and bolts. Education, tips and tricks to help you conduct better fMRI experiments. Sure, you can try to fix it during data processing, but you're usually better off fixing the acquisition! Thursday, July 9, 2015. Functional MRI of trained dogs. But why try to do dog fMRI at all? I'll let Greg take it from here, courtesy of a recent TEDx talk. Greg's initial dog fMRI project also featured in a segment broadcast on CBS's 60 Minutes. In October, 2014. CCI), based in Santa Rosa, CA&#...

marchonscience.blogspot.com

Zhilin's Scientific Journey: An new BSBL algorithm has been derived

http://marchonscience.blogspot.com/2012/11/an-new-bsbl-algorithm-has-been-derived.html

My odyssey to sparse signal recovery, statistical signal processing, biomedical signal processing, signal separation and decomposition, wearable healthcare, and smart-home. Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth. This blog reports latest progresses in. 1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home. Sunday, November 25, 2012. An new BSBL algorithm has been derived. I successfully ...

marchonscience.blogspot.com

Zhilin's Scientific Journey: Compressed Sensing of EEG Using Wavelet Dictionary Matrices

http://marchonscience.blogspot.com/2013/04/compressed-sensing-of-eeg-using-dwt-as.html

My odyssey to sparse signal recovery, statistical signal processing, biomedical signal processing, signal separation and decomposition, wearable healthcare, and smart-home. Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth. This blog reports latest progresses in. 1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home. Friday, April 12, 2013. Compressed Sensing of EEG Using Wavelet Dictionary Matrices.

marchonscience.blogspot.com

Zhilin's Scientific Journey: Two Papers are Ranked the No.1 and No.2 Most Cited Articles published in 2013 and 2014 in IEEE T-BME

http://marchonscience.blogspot.com/2014/10/two-papers-are-ranked-no1-and-no2-most.html

My odyssey to sparse signal recovery, statistical signal processing, biomedical signal processing, signal separation and decomposition, wearable healthcare, and smart-home. Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth. This blog reports latest progresses in. 1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home. Friday, October 31, 2014. Just know that my two papers are ranked the No.1. Compre...

marchonscience.blogspot.com

Zhilin's Scientific Journey: Yann LeCun's Comments on Extreme Learning Machine (ELM)

http://marchonscience.blogspot.com/2015/05/yann-lecuns-comments-on-extreme.html

My odyssey to sparse signal recovery, statistical signal processing, biomedical signal processing, signal separation and decomposition, wearable healthcare, and smart-home. Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth. This blog reports latest progresses in. 1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home. Saturday, May 9, 2015. Yann LeCun's Comments on Extreme Learning Machine (ELM).

marchonscience.blogspot.com

Zhilin's Scientific Journey: A smart-watch for elders independent of Wi-Fi network

http://marchonscience.blogspot.com/2014/11/a-smart-watch-for-elders-independent-of.html

My odyssey to sparse signal recovery, statistical signal processing, biomedical signal processing, signal separation and decomposition, wearable healthcare, and smart-home. Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth. This blog reports latest progresses in. 1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home. Thursday, November 27, 2014. A smart-watch for elders independent of Wi-Fi network.

marchonscience.blogspot.com

Zhilin's Scientific Journey: I successfully defended my Ph.D. dissertation today

http://marchonscience.blogspot.com/2012/12/i-successfully-defended-my-phd.html

My odyssey to sparse signal recovery, statistical signal processing, biomedical signal processing, signal separation and decomposition, wearable healthcare, and smart-home. Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth. This blog reports latest progresses in. 1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home. Wednesday, December 12, 2012. December 24, 2012 at 2:18 AM. A simple comparison of...

flowbrain.blogspot.com

Brad Buchsbaum's Blog: Reaction Time Experiments: Functional Neuroimaging on the Cheap

http://flowbrain.blogspot.com/2013/03/reaction-time-experiments-functional.html

A blog about assorted topics in cognitive neuroscience and functional neuroimaging. Tuesday, March 19, 2013. Reaction Time Experiments: Functional Neuroimaging on the Cheap. I my last post. Make predictions about functional neuroimaging data. Here I want to elaborate on that point, because, clearly, at least a few people believe that there is. A reason to exclude functional neuroimaging data from having a say in psychological theory-testing. Made the not wholly tongue-in-cheek remark that when it comes t...

flowbrain.blogspot.com

Brad Buchsbaum's Blog: March 2013

http://flowbrain.blogspot.com/2013_03_01_archive.html

A blog about assorted topics in cognitive neuroscience and functional neuroimaging. Tuesday, March 19, 2013. Reaction Time Experiments: Functional Neuroimaging on the Cheap. I my last post. Make predictions about functional neuroimaging data. Here I want to elaborate on that point, because, clearly, at least a few people believe that there is. A reason to exclude functional neuroimaging data from having a say in psychological theory-testing. Made the not wholly tongue-in-cheek remark that when it comes t...

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russpoldrack.org

Sunday, March 16, 2014. 532 days of self-examination. Last Tuesday we collected the final MRI scan and blood draw for the MyConnectome. Here I am emerging from the scanner on March 11, after the 104th MRI scan (photo: Mei-Yen Chen). The study started on 9/25/2012 and ended on 3/11/2014, for a total of 532 days. During this time we performed 104 MRI scanning sessions and 48 blood draws. After excluding some of the data for quality control we are left with:. 88 resting state fMRI scans. 15 N-back task scans.

russpole.com

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