Jiaxiang Zhang @ccbrainlab
Brain researcher @CompFoundry @CUBRICcardiff. Interested in #Cognition #Brain #Imaging #Neurogeneration #Computationalmodel ccbrain.org Wales, United Kingdom Joined April 2011-
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Jiaxiang Zhang retweeted
We have a new Post-doc position to join our vibrant research team. Initially for 1 year with potential for another year extension, @chenna1985 @DanielGMadrid11 @fehmiCirak @Mingchao_Liu @TanLab2 @DrBenEvans @IOM3Elastomer @drsusmitanaskar LINK: bit.ly/4eEXGcw
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Jiaxiang Zhang retweeted
So excited to share that DeepPrep is now online in @naturemethods! š Itās 10Ć faster than the SOTA pipeline and more robust in handling clinical cases. Weāve just released v25.1.0 with a concise GUI and support for both Win and Linux. Give it a try! š· shorturl.at/0pB4H
So excited to share that DeepPrep is now online in @naturemethods! š Itās 10Ć faster than the SOTA pipeline and more robust in handling clinical cases. Weāve just released v25.1.0 with a concise GUI and support for both Win and Linux. Give it a try! š· shorturl.at/0pB4H https://t.co/uu2FDeMs82
Jiaxiang Zhang retweeted
Excited to share our work MatchAnything: We pre-train strong universal image matching models that exhibit remarkable generalizability on unseen multi-modality matching and registration tasks. Project page: zju3dv.github.io/MatchAnything/ Huggingface Demo: huggingface.co/spaces/LittleFā¦
Jiaxiang Zhang retweeted
Our team @RealityLabs has made amazing progress in predicting hand pose from sEMG. Now we're releasing a huge dataset, with code and competitive benchmark models. Excited to see what you can do: github.com/facebookresearā¦
Excited to share our paper in @CurrentBiology, on a unified and parsimonious model for humans and macaque monkeys playing PAC-MAN . It was an excellent team effort with @yang_tianming , where we played a small part. cell.com/current-biologā¦
Excited to share our paper in @CurrentBiology, on a unified and parsimonious model for humans and macaque monkeys playing PAC-MAN . It was an excellent team effort with @yang_tianming , where we played a small part. cell.com/current-biologā¦ https://t.co/h53KzmdV1j
Jiaxiang Zhang retweeted
"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and BrainGPT.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s4156ā¦ 1/8
Jiaxiang Zhang retweeted
Excited to deliver Release 3 of The Open MEG Archives:š§ š§² 644 participants ā£ over 150 hrs of task-free recordings ā£ incl. Parkinsonās disease, ADHD, chronic pain + 444 healthy controls ā£ defaced structural MRI volumes ā£ individual questionnaire data. mcgill.ca/bic/neuroinforā¦
Jiaxiang Zhang retweeted
Cell Understanding the neural basis of natural intelligence cell.com/cell/abstract/ā¦
Jiaxiang Zhang retweeted
āØš„° check out our article - and cover š¤©- about Decoding the Brain in @CellCellPress cell.com/cell/fulltext/ā¦ We review the mathematics, current approaches, and muse about the futureā¦ #BCI #neuraldecoding #neuroAI Thanks to my awesome co-authors Adriana Perez Rotondo,ā¦
Jiaxiang Zhang retweeted
Introducing PaperQA2, the first AI agent that conducts entire scientific literature reviews on its own. PaperQA2 is also the first agent to beat PhD and Postdoc-level biology researchers on multiple literature research tasks, as measured both by accuracy on objective benchmarksā¦
Jiaxiang Zhang retweeted
Join us ! swansea.ac.uk/jobs-at-swanseā¦
Jiaxiang Zhang retweeted
Join us! FreezeMotion PhD and Postdoc Vacancies in Deep Neural Networks for Medical Imaging. Brain development in infants and its disruption by preterm birth or perinatal injury, can be measured with functional MRI (fMRI).
Jiaxiang Zhang retweeted
Apply and share this opportunity! Lecturer in Human-Computer Interaction and AI swansea.ac.uk/jobs-at-swanseā¦
Jiaxiang Zhang retweeted
š¢Job Alert! We have a 2-year postdoc position to investigate the neural mechanisms of depression, in the context of immune-mediated inflammatory diseases, using state-of-the-art brain imaging (7TfMRI-EEG) @CCNi_UofG @UofGPsychNeuro @UofGSii @UofGSHW jobs.ac.uk/job/DJA346/resā¦
More is not always better - When choosing based on our preferences, additional but redundant information could lead to poorer and slower decisions - a new paper from Aysegul tandfonline.com/doi/full/10.10ā¦
Jiaxiang Zhang retweeted
Tomassini et al. report that #Parkinsons disease disrupts the beta-frequency activity mediating the accumulation of evidence for decision-making, leading to inefficient processing. @le_Tomassini @CambridgeFTD @ccbrainlab @tccambs edin.ac/3Xxnj90
Jiaxiang Zhang retweeted
šØBREAKING: the @royalsociety publishes "Science in the Age of AI - How AI is changing the nature and method of scientific research," and it's a must-read for everyone interested in AI & science. Important information: ā”ļøAccording to the official release, the report addressesā¦
Jiaxiang Zhang retweeted
Missed out on ICLR Re-Align? No fear - here is a š§µ on our new work: "Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting" led by the fearless @NeuroTaha, with the inimitable @GretaTuckute 1/n
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