PhD King's College London Computational Neuroscience and Complexity 'Better late than never' @franhancock.qoto.org

Engelberg, Switzerland
Joined January 2012
Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
For anyone interested in using our methods, the paper's associated GitHub page will be released soon. In the meantime, check out the preprint's main text and supps for all the juicy details. Can also send a DM or email at james{dot}pang1{at}monash{dot}edu for more info. (15/n)
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Soo... my work on synergy in the brain is a finalist for the USERN Prize, category Formal Sciences! ๐Ÿง  Here's the link to read the shortliested projects and cast your vote for the winner (also for other disciplines), if you feel like showing your support! docs.google.com/forms/d/e/1Fโ€ฆ
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Check out this preprint if you are interested in real energy in the brain osf.io/4kcw5 @leechbrain and others
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Latest one out! Ultrafast, lossless analysis methods for high-dimensional time-series - application to neuroimaging. First for @GAlteriis, congrats for seeing it over the line :-) and with @FranHancock1, @eilidhmacnicol, @brain_kcl, Federico Turkheimer
New paper in Imaging Neuroscience by Giuseppe de Alteriis, Federico E. Turkheimer, et al: EiDA: A lossless approach for dynamic functional connectivity; application to fMRI data of a model of ageing doi.org/10.1162/imag_a_00113
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
New paper in Imaging Neuroscience by Giuseppe de Alteriis, Federico E. Turkheimer, et al: EiDA: A lossless approach for dynamic functional connectivity; application to fMRI data of a model of ageing doi.org/10.1162/imag_a_00113
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
(1/5) I'm looking for a way to fill he gaping hole in my wallet (academia was not set up for single mums as it turns out) and have a skill to offer: If anyone is interested in improving their presentation skills, hit me up. I actually have a pretty cool portfolio. I can give you:
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Fluid dynamics (approximation of Navier Stokes equations), "imperfectly" implemented on a cortical surface.
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
A short video interview on our recent work on #depression deep brain stimulation (DBS).
Replying to @IcahnMountSinai
.@crozSciTech spotlights the pivotal discoveries outlined in their groundbreaking paper on deep-brain stimulation therapy for treatment-resistant depression and explores the role of artificial intelligence within this field. Read the paper via @Nature: mshs.co/3rk935H @GeorgiaTech @HelenMaybergMD @SinaiBrain @MountSinaiNeuro @MSHSNeurology @MountSinaiPsych #DBS #Depression
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Great course and toolbox to get started with modeling. From the amazing comp-neuro dudes down under.
This Post is from an account that no longer exists. Learn more
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Everybody please, don't use Pearson correlation to quantify prediction accuracy. It's a sub-par choice, as explained in: ncbi.nlm.nih.gov/pmc/articleโ€ฆ
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Exciting new work from @DrBreaky and team
The brain is an energy-demanding organ but most biophysical models fail to couple neuronal activity to its finite metabolic supply Here we couple neuronal-metabolic activity yielding a โ€œcomputational assayโ€ of neonatal recovery from hypoxia at birth nature.com/articles/s41467-0โ€ฆ
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Brain Connectivity Workshop x @wellcometrust 20-21 Sept 2023 Unique BCW format = short talks -> intense discussion Free to join online tinyurl.com/zhu9fs34 Line-up @JirsaViktor I Rekik @martijnheuv @gin_bianconi M Jones J Lerch @sosa_valdes @monicarosenb @petra_vertes [1/2]
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
At #OHBM2023 and interested in ultra-low-field (0.064mT) @Hyperfine portable MRI, deep-learning for super-resolution and/or paediatric volumetric estimates? Come see Levi present work with @rosalynjmoran et al. at poster 1235 / 2587 | @OHBM
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
Dynamicity of brain network organization and their community architecture as characterizing features for classification of common mental disorders from the whole-brain connectome medrxiv.org/cgi/content/shorโ€ฆ #medRxiv
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Fran Hancock ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ญ retweeted
๐Ÿš€ Introducing PLOS Complex Systems, a game-changing journal. Join me on this thrilling journey. Together, let's shape the future of complex systems research and make an impact on scientific understanding and societal progress. #PLOSComplexSystems ๐Ÿ’ก๐ŸŒ๐Ÿ”ฌ plos.org/complex-systems-resโ€ฆ
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