Tweets by @bendfulcher about time-series analysis.
Joined July 2015
- Tweets 490
- Following 77
- Followers 759
- Likes 267
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Highly comparative time-series analysis feature-extraction software (-hctsa-) now available in python as pyhctsa!
Compute *over 4500* time-series features from time-series data!
Code: github.com/DynamicsAndNeural…
Docs: dynamicsandneuralsystems.git…
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26 Nov 2025
New preprint! (by @kieran_s_owens)
Of interest to anyone who analyzes time-series data!:
"Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms"
techrxiv.org/users/999518/ar…
#timeseries #dimensionreduction #complexsystems
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26 Nov 2025
@kieran_s_owens (i) explains how all the methods can be understood through these conceptual groupings,
(ii) derives new relationships between existing methods, and
(iii) provides some case-study demonstrations/comparisons of how (insanely) well they can work on data
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26 Nov 2025
And there's an open python repo with really clear and easy to read and code implementing the key methods:
github.com/KieranOwens/tsdr
Take a look?! 👀
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Time Series Features retweeted
13 May 2025
New preprint!: "Using matrix-product states for time-series machine learning".
arxiv.org/abs/2412.15826
Quick summary below 👇
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Time Series Features retweeted
19 Aug 2024
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/brendanjohnharris…
Check out the CatchaMouse16 paper below
18 Jul 2024
New preprint w/ Imran Alam, Patrick Cahill @Valerio_Zerbi @m_markicevic @brendanjohnh @olivercliff
"Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI"
biorxiv.org/content/10.1101/…
Code: github.com/DynamicsAndNeural…
Short summary 👇
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Time Series Features retweeted
9 Aug 2024
A new method of detecting criticality from time-series data outperforms conventional metrics in the presence of variable noise levels for both simulated systems and real neural recordings.
Read go.aps.org/3WBjcXf
#PRXjustpublished #PRXopenaccess #PRXComplexSystems
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Time Series Features retweeted
12 Aug 2024
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/PhysRevX.14.…
Code details: time-series-features.gitbook…
9 Aug 2024
A new method of detecting criticality from time-series data outperforms conventional metrics in the presence of variable noise levels for both simulated systems and real neural recordings.
Read go.aps.org/3WBjcXf
#PRXjustpublished #PRXopenaccess #PRXComplexSystems
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Time Series Features retweeted
5 Aug 2024
New preprint by Rishi Maran @eli_j_muller
"Analyzing the Brain's Dynamic Response to Targeted Stimulation using Generative Modeling"
A review/perspective on why new mechanisms may be found by modeling brain stimulation dynamics 🧠⚡️
arxiv.org/abs/2407.19737
Quick summary 👇
Analyzing the Brain's Dynamic Response to Targeted Stimulation using Generative Modeling. arxiv.org/abs/2407.19737
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Time Series Features retweeted
18 Jul 2024
New preprint w/ Imran Alam, Patrick Cahill @Valerio_Zerbi @m_markicevic @brendanjohnh @olivercliff
"Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI"
biorxiv.org/content/10.1101/…
Code: github.com/DynamicsAndNeural…
Short summary 👇
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Time Series Features retweeted
15 Jul 2024
Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP)
We're really interested in the problem of inferring sources of non-stationary variation directly from measured time-series data.
arxiv.org/abs/2407.08987v1
Quick summary 👇
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Time Series Features retweeted
21 Jun 2024
If you're at OHBM this year, check out @AnnieGBryant's great work developing a systematic method to extract interpretable dynamical patterns from fMRI time series!
21 Jun 2024
#OHBM very excited to share this (v2.0) at the 'Transdiagnostic Perspectives on Neurodevelopmental and Psychiatric Disorders - Part 1' 12pm oral session on Tuesday, and poster #1740 on Wed/Thurs afternoon! Come say hi 😊
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17 May 2024
Curious about scientific papers that have used hctsa for time-series feature extraction?
I maintain a log of this here, categorized across Biology, Cellular Neuroscience, Neuroimaging, Medicine, Pathology, Engineering, Geoscience:
time-series-features.gitbook…
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17 May 2024
"Extensive MEG time-series phenotyping unveils neural markers predictive of age"
Using the hctsa time-series feature set, finding age-predictive patterns of autocorrelation within the visual and temporal cortex.
doi.org/10.1101/2024.05.09.5…
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Time Series Features retweeted
11 May 2024
Amazing work using the great pyspi package! We also used it in our recent work and examined the sensitivity of (only) 20 representative FC metrics regarding neural decline induced by age and malignant brain tumors doi.org/10.1101/2024.03.18.5…!
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Time Series Features retweeted
10 May 2024
Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1101/2024.05.07.5…
What is the best FC metric?
Led by @liuzhenqi0303 avec @loopyluppi @JustineYHansen @yetianmed @AndrewZalesky @bttyeo @bendfulcher ⤵️
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26 Apr 2024
catch22 documentation for efficient time-series feature extraction is now live on @GitBookIO, with docs for #RStats #Python #Julia and #Matlab and full descriptions of all time-series features
time-series-features.gitbook…
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Time Series Features retweeted
24 Apr 2024
#Satellite ComplexTime explores temporal dynamics in complex systems across various domains. They invite submissions on topics related to temporal data handling, methods, and tools. Learn more at: sites.google.com/view/comple…
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19 Apr 2024
Beyond oscillations - A novel feature space for characterizing brain states
biorxiv.org/content/10.1101/…
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