Himanshu @man_shuuu
Developer @nilearn, Research Engineer @InriaMIND. Likes coding, neuroscience and math modelling. github.com/man-shu Paris, France Joined June 2011-
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Hello everyone at #OHBM2025 Come find out about Nilearn's (nilearn.github.io) latest and greatest features at our poster tomorrow (Friday, June 27) and Saturday, June 28, between 13:45 -15:45. Poster #1838. See you there!
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Himanshu retweeted
Himanshu retweeted
Hello #OHBM2024! Wanna know how you can leverage across-subject information to improve within-subject decoding? @BertrandThirion, Liza Al-Shikhley, and I came up with a very approachable method to do so. Let's talk more about it at poster #1432 on Wed and Thu between 2-4pm.
Himanshu retweeted
OHBM #Hackathon was a blast! Thanks to all our attendees and volunteers for a hugely successful programme of events. Looking forward to 2025 in Brisbane already! #ohbm2024
Himanshu retweeted
The #IBC 3rd-release data-paper is out! We validate naturalistic tasks using #FastSRM, an unsupervised model where a shared response and individual maps are learnt jointly from fMRI time series. Check it out! doi.org/10.1038/s41597… @BertrandThirion @hr1ch3rd @NeuroSpin_91
Himanshu retweeted
French CEA releases the first images of a human brain captured by #Iseult, the world's most powerful MRI scanner for humans (11.7 Tesla). The spatial precision of these images are unprecedented for in-vivo tissue.
French CEA releases the first images of a human brain captured by #Iseult, the world's most powerful MRI scanner for humans (11.7 Tesla). The spatial precision of these images are unprecedented for in-vivo tissue.
Himanshu retweeted
The preprint on the #IBC-dataset 3rd-release is out! We showcase the application of #FastSRM to extract, from naturalistic stimuli, functional networks of the visual, auditory and language systems. Check it out! hal.science/hal-04272993 @BertrandThirion
Himanshu retweeted
Bienvenue @InriaMind ! Cette nouvelle équipe-projet, commune @Inria @CEAParisSaclay @UnivParisSaclay, développe des méthodes d’#IA sur de grandes bases de données pour mieux comprendre le fonctionnement du cerveau 🧠. 📰 Découvrez le #logiciel NeuroLang : inria.fr/fr/un-langage-…
Himanshu retweeted
All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-profit journal imaging-neuroscience.org This comes with great regret, and a huge amount of thought and discussion- please read announcement to get more details.
Himanshu retweeted
Our paper on using Optimal Transport to compare human cortical surfaces was accepted at #NeurIPS22 🥳 We implement a new OT solver (FUGW) to compare human brains although their anatomy and functional activity patterns differ a lot. arxiv.org/abs/2206.09398 github.com/alexisthual/fu…
Himanshu retweeted
UCL Neuropixels Course 2022 - October 19 Join us for an online, one-day, soup to nuts set of talks focusing on the latest practicalities of using Neuropixels probes. Free and open to all levels. Register: forms.gle/kmAnCAFdrx7FEm…
Today's tutorial on Random Walks @neuromatch hit too close to home: "What’s the best strategy when one does not know where to head? Why, flail around randomly, of course!"
Himanshu retweeted
Yeah the new Batman movie is good but the best flight entertainment is watching our @neuromatch project team whip up GLMs as we decode motor movement from ECoG data. @man_shuuu @the_MODU_lator and @_AG_X
Himanshu retweeted
Glad to share our #ICML2022 paper “Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps”. In this work, we investigated the factors driving NLM's ability to fit fMRI brain data. With @lakretz, John Hale, @BertrandThirion, @chrplr arxiv.org/abs/2207.03380
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