#MATLAB is an active hashtag on Bluesky. In the last 30 days, 12 people shared 32 posts with it — around 1 a day. Activity is up 0% versus the previous week, peaking on Sep 4 with 5 posts.

Posts with #MATLAB

tor

@torwager.bsky.social

21 days ago

42 new #fmri tutorials to accompany our new book Elements of fMRI, with @fMRIstats. Run code in both #python and #matlab in your browser to explore. 7 sections, from conceptual foundations to machine learning and AI. torwager.github.io/elemen….

torwager.github.io

Elements of fMRI Analysis — Interactive Tutorials

Hands-on tutorials for the book Elements of fMRI Analysis: runnable MATLAB and Python code, thought questions, and self-quizzes for all 42 chapters.

1 28 72

Ted Pavlic (he/him/his)

@tedpavlic.bsky.social

29 days ago

If you teach power analysis to undergrads or your grad students need a review, this widget may help. Includes a description and visualizations of power analyses for multiple tests, high-resolution OC charts, and sample code for #MATLAB, #Rstats, and #Python. #stats tpavlic.github.io/asu-sim….

tpavlic.github.io

Power Explorer—statistical power by simulation and by formula

Statistical power made manipulable: watch the null and alternative sampling distributions separate as the sample size grows, estimate power by Monte Carlo simulation and check it against the exact ans...

1 9 44

Chris Rackauckas

@chrisrackauckas.bsky.social

12 months ago

Scientific Modeling Cheatsheet: #MATLAB vs #Python vs #Julialang Side-by-side comparison for: • Differential equations • Optimization • Automatic differentiation • Symbolic computing • More! Highlights ecosystem differences & best practices. sciml.github.io/Scientifi….

sciml.github.io

Scientific Modeling Cheatsheet – MATLAB – Python – Julia Quick Reference

1 14 35

David Broadhurst

@davidbroadhurst.bsky.social

over 1 year ago

QC:MXP version 2.0 is now available to download for free from my GitHub page: www.qcmxp.org Repeat-injection-based Quality Control, Batch Correction, Exploration & Data Cleaning. #Metabolomics #AnalyticalChemistry #Matlab

2 12 23

Alexis Paez

@palexis.bsky.social

over 1 year ago

Good news for treating drug-resistant #Epilepsy with #MachineLearning to automate locating the epileptogenic zone from inter-ictal #EEG. doi.org/10.1038/s417... Credit to Christos Papadelis and team. #MATLAB #Neuroskyence 🧪🧠

doi.org

Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy - npj Digital Medicine

npj Digital Medicine - Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy

0 7 22

Alexis Paez

@palexis.bsky.social

almost 2 years ago

We all learned the center-surround, rod and cone structure, but this is a lot of detail about glia and blood vessels in the retina and what happens in degeneration. doi.org/10.1016/j.cu... #MATLAB #Neuroscience #Neuroskyence

www.cell.com

Layer-specific anatomical and physiological features of the retina’s neurovascular unit

Grimes et al. use EM to examine the ultrastructure of neurovascular units in mouse retina and discover differences in glial coverage, neuronal contacts, and susceptibility to disease. Glial calcium signals are activated by ATP and propagate through all layers. Neurovascular contacts near photoreceptors are compromised in retinitis pigmentosa.

0 6 20

Wolfgang Schwanghart

@topotoolbox.bsky.social

over 1 year ago

Check out #ttminvoellmy, a #MATLAB and #TopoToolbox software to simulate rock avalances ⛰️. You can download the toolbox here: github.com/TopoToolbox/... . Reply with videos of your simulations here 🔽

0 3 21

OpenBehavior

@openbehavior.bsky.social

almost 2 years ago

SaLSa is a #MATLAB package for classifying animal behavior. It combines semi-automatic labeling with LSTM neural networks to analyze data from pose estimation to identify behavioral syllables. Read about SaLSa in this week's post on OpenBehavior: edspace.american.edu/open….

4 6 19

Henrik Bengtsson

@henrikbengtsson.bsky.social

over 1 year ago

Please don't write software that hijacks all CPU cores by default. Here's a shared compute server with 48 cores where the #java, #python and #MATLAB processes defaults to using all the cores, bringing this machine to a full stall. The users are not to be blamed here #Linux #parallel #rstats

$ top
top - 17:05:03 up 89 days, 4:16, 36 users, load average: 637.00, 632.52, 620.30
Tasks: 1853 total, 197 running, 1649 sleeping, 1 stopped, 6 zombie
%Cpu(s): 0.6 us, 98.8 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.4 hi, 0.1 si, 0.0 st
MiB Mem : 515879.0 total, 17861.5 free, 490432.7 used, 7584.8 buff/cache
MiB Swap: 4096.0 total, 0.0 free, 4096.0 used. 17138.2 avail Mem

PID USER VIRT RES S %CPU %MEM TIME+ COMMAND
3079406 alice 38.0g 522924 S 4800 0.1 701:57.97 java
3761930 bob 27.0g 19.2g S 4800 3.8 76:08.62 python3.12
2832635 carol 23.7g 4.3g S 4800 0.8 1644:56 MATLAB
3079174 dave 58.8g 58.5g S 200.0 11.6 85:43.41 R
2865558 eve 31.5g 31.0g S 200.0 6.1 36:12.73 R
...

1 2 19

AEA Data Editor

@aeadata.bsky.social

2 months ago

Lesson? I don't know about the econometrics - but don't use --quietly-- in #Stata ! (or "source()" without "echo=TRUE" in #R, or drop the ";" in #MATLAB). Good night, and good computing!

2 4 18

Martin H. Trauth

@martinhtrauth.bsky.social

almost 3 years ago

Some time ago we were running a competition with #MATLAB and #Python in creating beautiful 3D graphs of digital terrain models. Here's the result: mres.uni-potsdam.de/index.php/20...