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Daniel Borek proslijedio/la je Tweet
My blogpost on how & why we use convolutional neural networks as a model of the visual system is probably the most read thing I've ever written and it's now been expanded & updated into a proper review article, complete with 136 references & 5 new figures! https://arxiv.org/abs/2001.07092 pic.twitter.com/xRqYKptTsF
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Daniel Borek proslijedio/la je Tweet
important study on comparing some of the many automatic preprocessing pipelines for EEG data.https://twitter.com/biorxiv_neursci/status/1219765944819625992 …
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Daniel Borek proslijedio/la je Tweet
New year, new preprint! We disentangle neocortical alpha/beta and hippocampal theta/gamma in episodic memory. NC desync. peaks during info. representation while hipp. sync. peaks during mnemonic binding https://www.biorxiv.org/content/10.1101/2020.01.22.915330v1 …. Thanks to
@MCMartinBuro@BStaresina@SimonHanslmayr!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Borek proslijedio/la je Tweet
I'm proud in to introduce evidently, a python package for simulating from evidence accumulation models. https://github.com/EoinTravers/Evidently/ … Unlike other packages, it focuses on the time course of these models, and should be particularly useful for looking at their EEG correlates!pic.twitter.com/dxRCSIxpMJ
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Daniel Borek proslijedio/la je Tweet
Across participants, there is a large range of measurable EEG oscillation strength. For some participants, oscillations are very pronounced, for others miniscule. One can exclude participants for the sake of good measurement, but then the generalizability suffers. Tough choice!pic.twitter.com/dXiPS5XJqP
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Daniel Borek proslijedio/la je Tweet
1/ Hippocampal-prefrontal awake replay paper in the new
@NeuroCellPress issue. CA1 reverse replay for retrospection, forward replay for prospection, with opposing learning gradients. CA1-PFC replay supports past recall and future planning for spatial working memory.https://twitter.com/BrandeisNeuro/status/1208035321138548737 …
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Daniel Borek proslijedio/la je Tweet
Exciting stuff! Multimodal TMS-EEG-fMRI to explore interactions between brain oscillations and cortico-subcortical network connectivity (by Peters et al.; Sack's lab)
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Daniel Borek proslijedio/la je Tweet
I have just released versions 0.9.1 and 0.10.0 of seaborn, a Python library for data visualization. The new versions contain a number of improvements, and version 0.10.0 drops support for Python 2. Check out the release notes for more information: http://seaborn.pydata.org/whatsnew.html pic.twitter.com/fiV7mUiPGF
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Daniel Borek proslijedio/la je Tweet
Very excited about our new paper: "Ventromedial prefrontal cortex compression during learning". vmPFC coding akin to goal-directed dimensionality reduction and tracks attention weights from learning models.
@ProfData@preston_lab https://www.nature.com/articles/s41467-019-13930-8 …pic.twitter.com/4IIQbGh7U7
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Daniel Borek proslijedio/la je Tweet
Comparing MEG and high-density EEG for intrinsic functional connectivity mapping |https://www.sciencedirect.com/science/article/pii/S1053811920300434 …
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Daniel Borek proslijedio/la je Tweet
Double-dissociation of frequency-specific contributions of dorso-lateral and dorso-medial prefrontal cortex to familiarity and recollective processes in the primatehttps://www.biorxiv.org/content/10.1101/2020.01.16.909812v1 …
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Daniel Borek proslijedio/la je Tweet
Logothetis et al. are moving to
#China. The new International Center for Primate Brain Research (sic) in Shanghai will host up to 6,000 non human primates. Most of his collaborators will leave Tubingen and move there, with family.https://www.sciencemag.org/news/2020/01/animal-rights-conflict-prompts-leading-researcher-leave-germany-china …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Borek proslijedio/la je Tweet
@NatureNews highlighting an important and under-discussed issue: The additional burden of navigating academia if you didn't grow up speaking English. [1/6]https://www.nature.com/articles/d41586-019-01797-0?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf214435902=1 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Borek proslijedio/la je Tweet
This neuroimage alert is crazy: a cool new tool "zapline" to effectively remove line-noise. Looks super promising - I had no luck in the past with tools like cleanline etc. https://doi.org/10.1016/j.neuroimage.2019.116356 …
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Daniel Borek proslijedio/la je Tweet
fantastic new EEG/ET paper by
@olafdimigen tldr: Run your ICA at 2Hz (passband) to remove eyemovement artefacts. Boost correction by concatenating spike potentials! The definitive guide to ET/EEG ICA eye-artefact correction. https://doi.org/10.1016/j.neuroimage.2019.116117 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Borek proslijedio/la je Tweet
Excited to share w/
@StavrosTrak, our latest preprint where we use the Hurst exponent (H) to better understand how excitation-inhibition (E:I) imbalance differentially affects the brain in autistic men versus women.@LAND_IIThttps://www.biorxiv.org/content/10.1101/2020.01.16.909531v1 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Borek proslijedio/la je Tweet
Our preprint "EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum" is now online: http://arxiv.org/abs/2001.09424 Comments are very welcome, this is a work in progress.https://twitter.com/matteo_brainnet/status/1220686505162739712 …
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Daniel Borek proslijedio/la je Tweet
Current source density analysis revealed that high-alpha-band power in anterior cingulate cortex was the most prominent predictive feature shared by all the feature sources...https://twitter.com/Neuro_psych/status/1219655616895029248 …
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Daniel Borek proslijedio/la je Tweet
How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study https://biorxiv.org/cgi/content/short/2020.01.20.913327v1 …
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Daniel Borek proslijedio/la je Tweet
The Strength of Alpha and Gamma Oscillations Predicts Behavioral Switch Costs https://www.sciencedirect.com/science/article/abs/pii/S1053811918321608?via%3Dihub …pic.twitter.com/yH0dY9fA0y
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