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Prikvačeni tweet
Our latest work "A comparison between scalp- and source-reconstructed EEG networks" with
@lai_margherita@suforraxi and A. Hillebrand is finally out!https://www.nature.com/articles/s41598-018-30869-w …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matteo Fraschini proslijedio/la je Tweet
Meta-analyses provide the critical tools for consolidating the immense growth of the neuroimaging literature, but quality is key Ten simple rules:: https://buff.ly/2MO9P4n Practical recommendations: https://buff.ly/391dgMI
@ten_photos@talyarkoni@torwager@MasoudTahmasianpic.twitter.com/RavLb3xubl
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Matteo Fraschini proslijedio/la je Tweet
What do reviewer #2 and open science have in common? They’ll both ask you for effect sizes! And we've got you covered :) Here is an example of computing and reporting effect sizes using fieldtrip and cluster-based permutations tests (http://www.fieldtriptoolbox.org/example/effectsize/ …)
#notanothercommitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matteo Fraschini proslijedio/la je Tweet
Mi colpisce vedere quelli che si battevano per garantire ai cavernicoli la libertà di mandare a scuola i loro figli non vaccinati diventare improvvisamente alfieri della prevenzione.
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Matteo Fraschini proslijedio/la je Tweet
First MNELAB release in 2020 (0.5.3) - conda users on macOS should now have a fully working GUI. Also, hi-res icons, more detailed command history, and hopefully more reliably multiprocessing. Thanks
@RHoechenberger for the conda and multiprocessing fixes!https://github.com/cbrnr/mnelabHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matteo Fraschini proslijedio/la je Tweet
I especially recommend early career researchers such as doctoral candidates or post-docs to showcase their work and ideas at
#OHBMX. You will rarely get a wider audience, reaching outside academia. Did we mention that#OHBMX happens during#brainAwarenessWeek?@dana_fdnhttps://twitter.com/ohbmequinox/status/1224431643445739520 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matteo Fraschini proslijedio/la je Tweet
Network Neuroscience 2020, Vol. 4, No. 1, pp. 30–69: Questions and controversies in the study of time-varying functional connectivity in resting fMRI https://www.mitpressjournals.org/doi/full/10.1162/netn_a_00116 …
@danjlurie@vdcalhoun@DrBreaky@russpoldrack@nbielczyk_neuro@richardfbetzel@ar0mcintosh & many morepic.twitter.com/VXxzMOaYlU
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Matteo Fraschini proslijedio/la je Tweet
The dates for this course are July 1-3, right after
#OHBM | If you're traveling to Montreal, come down to Boston for this course!https://twitter.com/SINSA2020/status/1221810409302319105 …
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Matteo Fraschini proslijedio/la je Tweet
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@brunofmr &@jure will teach the#SINSA2020 course in Machine Learning in Networks: http://ow.ly/xbIN50y4rgp@NUnetsi@IUNetScipic.twitter.com/YrD2laS8Gm
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Matteo Fraschini proslijedio/la je Tweet
#PLOSCompBio: Ten simple rules for documenting scientific softwarehttps://dx.plos.org/10.1371/journal.pcbi.1006561 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Matteo Fraschini proslijedio/la je Tweet
New from Lia Papadopoulos, "Relations between large scale brain connectivity and effects of regional stimulation depend on collective dynamical state" https://arxiv.org/abs/2002.00094 w/
@ChrisWLynn & Demian Battagliapic.twitter.com/i4u3ql0ZWe
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Looking for a Journal included in the "Computer Science" Subject Area in Scimago, publishing EEG related stuff, submission to 1st decision <4 weeks and accepting single PDF for a new submission. Suggestions are very welcome.
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Matteo Fraschini proslijedio/la je Tweet
Please share: I'm hiring! Full time Python programmer. Two years with possibility of extension. You'll be working on lab software dev and integration (fooof, bycycle, neurodsp), embedded within
@UCSanDiego cognitive / neuro / data science communities. https://jobs.ucsd.edu/bulletin/job.aspx?jobnum_in=103794 …pic.twitter.com/mQXEGoJDKb
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Matteo Fraschini proslijedio/la je Tweet
Gave two back to back sessions on Python for R users today, came out out really well, I think. Notebooks at https://github.com/poldrack/PythonForRUsers …. Realized half way through second session that my_dict may not be the best name for an example dictionary ...
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Matteo Fraschini proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Matteo Fraschini proslijedio/la je Tweet
Does anyone have an argument in support of a single-blind review process (in terms of reviewer/authors identities) instead of double-blind? I can't see how anything outweighs the potential bias of knowing whose work you're reviewing.
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Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus https://www.sciencedirect.com/science/article/pii/S1751157715301930 …
@KordingLab@spornslabHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I have always read the suggestion to use the first "artifacts-free" epochs, but was this effect ever investigated in detail?
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The previous plot shows the p-values for different combinations of epochs (all combs with 4 out of 12). X-axis is organized as follows: the left side includes the last epochs in time (9:12) and the right side includes first epochs in time (1:5).
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Assume you have rs EEGs from N subjs in 2 conds (EC/EO). You may expect to find diff between conds even using very simple ft (mean alpha power). Now, you segment your long EEGs into epochs and perform the analysis on X "good epochs". But how much this selection impact the diff?pic.twitter.com/8TrgQDNPn0
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When you ask Google a question and one of your works comes up...
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