Brendan Harris @brendanjohnh
Postgrad student in complex systems @sydney_physics Joined July 2021-
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New paper! We introduce an efficient set of statistical features for fMRI time series (calibrated on mouse manipulation experiments and tested on mouse and human data): catchaMouse16. Paper: doi.org/10.52294/001c.… Code: github.com/DynamicsAndNeu…
New paper! We introduce an efficient set of statistical features for fMRI time series (calibrated on mouse manipulation experiments and tested on mouse and human data): catchaMouse16. Paper: doi.org/10.52294/001c.… Code: github.com/DynamicsAndNeu… https://t.co/sx8hFERnlk
x-less Chris Whyte and I introduce a novel data-driven framework to evaluate >200 connectivity-based neural correlates of consciousness! Results are used to quantitatively compare outputs from neurodynamical models tailored to theoretic predictions. biorxiv.org/content/10.110…
Can't wait for #cosyne2025, starting tomorrow! Our paper (with Leonardo Gollo and @bendfulcher) will be on display at poster [1-117] Stop by 8pm to 11pm tomorrow and hear about our new method for detecting criticality in noisy systems like the brain!
Going to #cosyne2025? Wondering whether higher cortical regions are closer to a critical point? Stop by poster [1-117] on the 27th March to chat about detecting #criticality in noisy systems like the #brain! Poster and related links are up now at: github.com/brendanjohnhar…
Excited to share work co-led with @aditi_jh developing a data-driven selection technique for overlapping community detection algorithms, applied to the human structural connectome! biorxiv.org/content/10.110…
Very happy to see that our paper on "Higher order connectomics of human brain function" is now out in @NatureComms . Lots of fun! Last one by the great @andreasantor0 , with @lordgrilo @fede7j @maximelca nature.com/articles/s4146…
Our review/perspective on tracking non-stationarity of an unknown process is now published in Chaos 🦋 Congratulations @kieran_s_owens ! Stay tuned for some follow-up work coming soon 👀 pubs.aip.org/aip/cha/articl…
Our review/perspective on tracking non-stationarity of an unknown process is now published in Chaos 🦋 Congratulations @kieran_s_owens ! Stay tuned for some follow-up work coming soon 👀 pubs.aip.org/aip/cha/articl…
So excited for this work to be finally out. Thanks to all the co-authors for putting up with me and letting me talk about tennis 🎾!
So excited for this work to be finally out. Thanks to all the co-authors for putting up with me and letting me talk about tennis 🎾!
Better believe it, there are now TWO #timeseries feature sets available in #julialang. The new CatchaMouse16.jl package joins Catch22.jl, bringing 16 more features tailored to (mouse) fMRI data: github.com/brendanjohnhar… Check out the CatchaMouse16 paper below
Better believe it, there are now TWO #timeseries feature sets available in #julialang. The new CatchaMouse16.jl package joins Catch22.jl, bringing 16 more features tailored to (mouse) fMRI data: github.com/brendanjohnhar… Check out the CatchaMouse16 paper below
Our work by @brendanjohnh (w Leo Gollo) on tracking the distance to criticality in noisy systems is now out in @PhysRevX 🙂 (includes an application tracking criticality across the mouse visual hierarchy) doi.org/10.1103/PhysRe… Code details: time-series-features.gitbook.io/time-series-an…
Our work by @brendanjohnh (w Leo Gollo) on tracking the distance to criticality in noisy systems is now out in @PhysRevX 🙂 (includes an application tracking criticality across the mouse visual hierarchy) doi.org/10.1103/PhysRe… Code details: time-series-features.gitbook.io/time-series-an…
Direct your gaze at this or put it into your periphery, really depends if you are walking. We found that the oscillation of visual detection ability during walking has phasic difference between centre and periphery. See our preprint at: doi.org/10.1101/2024.0…
New results now live! Most exciting is @brendanjohnh mouse #neuropixels application. We find that brain areas higher in the visual hierarchy are closer to #criticality (in a way that cannot be detected with existing #timeseries measures) 😄🐭⬇️ arxiv.org/abs/2310.14791
New results now live! Most exciting is @brendanjohnh mouse #neuropixels application. We find that brain areas higher in the visual hierarchy are closer to #criticality (in a way that cannot be detected with existing #timeseries measures) 😄🐭⬇️ arxiv.org/abs/2310.14791 https://t.co/3S8aizhnYA
New pre-print by @aria_mt_nguyen w @jlizier: "A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series" Introduces a new method: uses features to infer time-series interactions arxiv.org/abs/2404.05929
New #ComplexSystems preprint: "Tracking the distance to criticality in systems with unknown noise" By @brendanjohnh w/ Leonardo Gollo 😀 arxiv.org/abs/2310.14791 A summary in the thread below 👇
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Yoshiki A. Sugimoto /... @Suimylikesbooks
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133 Followers 496 Following PhD, Johns Hopkins. Julia programming language enthusiast.
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Shelley @Shelley64613602
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Valeriy M., PhD, MBA,... @predict_addict
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85 Followers 179 Following SKKU Cocoan Lab (https://t.co/MI3xxzXXD9) SKKU YooLab (https://t.co/z7CWCAR7cL) Interested in computational mechanisms of emotion and pain in the brain.
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Ole Jensen @olejensen... @OleJensenOHBA
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Physical Review X @PhysRevX
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James Pang @jchrispang
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Jonathan Pillow @jpillowtime
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Emily Finn @esfinn
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