Information Dynamics Toolkit xl
@infotoolkit
The Information Dynamics Toolkit xl (IDTxl) in Python. Comprehensive analysis of information dynamics from time series.
You might like
We're very excited to announce that the official release of IDTxl, our Python toolbox for multivariate network inference from time series, just got accepted @JOSS_TheOJ (joss.theoj.org/papers/121584f…). Thanks to @jlizier @MWibral @PedroMediano @Conor_Finn et al. and the team at JOSS
New IDTxl release introducing @DrMLindner's implementation of the history dependence estimator for neural spike trains proposed by Lucas Rudelt (see the paper for details: journals.plos.org/ploscompbiol/a…) github.com/pwollstadt/IDT…
github.com
Release v1.3 02/2022 · pwollstadt/IDTxl
New features: Implementation of history-dependence estimator for neural spike data (by @DrMichaelLindner)
New preprint by @ThosVarley using IDTxl for transfer entropy analysis of spiking neurons in the macaque cortex during different tasks.
🚨New preprint!🚨 This was one of the few things that kept me (somewhat) grounded during the worst months of the pandemic winter. An excellent collaboration between myself, @spornslab, @dann_benjamin and @HansScherberger. Details below 1/n biorxiv.org/content/10.110…
New preprint from @WibralLab A differentiable measure of pointwise shared information arxiv.org/abs/2002.03356 #PID
Our Workshop on Methods of Information Theory in Computational Neuroscience will be held again at @CNSorg CNS*2021 online this year July 6/7 - abzinger.github.io/202107-CNS2021… - Call for Contributed Talks is open also- pls do submit! Am coorganising with chairs @AbdullahMakkeh & @MWibral
New paper using IDTxl to analyze visual scan paths
#mdpientropy "Quantifying the Predictability of Visual Scanpaths Using Active Information Storage" mdpi.com/1099-4300/23/2… #eyetracking #informationtheory #activeinformationstorage #scanpath
Well, wage aside (!), don't hang up the lab coat -- the multivariate approaches are achievable (with cluster access, of course) -- @novelli_leo's recent papers demonstrate how we can scale up to realistic neural data set sizes today (using our open source IDTxl @infotoolkit)
Recordings of talks from our Workshop on Methods of Information Theory in Computational Neuroscience at @CNSorg #CNS2020Online are now available via the OCNS YouTube channel- access via this playlist youtube.com/playlist?list=… or the workshop website lizier.me/joseph/confere… - Enjoy!
Our software showcase on information theory in computational neuroscience using JIDT/IDTxl at #CNS2020Online @CNSorg is starting in just over 30 mins - be there!
I'll be presenting this brief software showcase on JIDT (@infodynamicstkt) and IDTxl (@infotoolkit) with @novelli_leo at #CNS2020Online on July 18 11pm CEST (UTC+2) - github.com/jlizier/jidt/w…
Program now up for for all talks at our Workshop on Methods of Information Theory in Computational Neuroscience, Jul 21/22 at @CNSorg #CNS2020Online - see lizier.me/joseph/confere… and cns2020online.sched.com - pls register via cnsorg.org/cns-2020 and join us!
On Saturday, July 18, 11-11.30 pm, we are delighted to host the showcase on "Information theory and directed network inference (using JIDT and IDTxl)". For further information, please visit our official Sched: cns2020online.sched.com ..
.@novelli_leo & I will run a 30 min live online software showcase on info theory & network inference with JIDT @infodynamicstkt & IDTxl @infotoolkit at CNS*2020 @CNSorg on July 18 11pm Berlin time (July 19 7am Sydney) github.com/jlizier/jidt/w… (register free for CNS*2020 to attend)
New release of our toolbox IDTxl: github.com/pwollstadt/IDT… Includes updates and fixes along with a new estimator for differentiable multivariate partial information decomposition by @AbdullahMakkeh and @WibralLab (have a look at the paper on arXiv: arxiv.org/abs/2002.03356…)
![infotoolkit's tweet card. New features: Multivariate, differentiable Partial Information Decomposition (Makkeh et al., 2020, arXiv:2002.03356 [cs.IT]) Fixes: Fixing compatibility for JPype1 0.7 and improving Java memory ...](https://pbs.twimg.com/card_img/1986568121126166528/Fu5ptIS0?format=jpg&name=orig)
Now published on Proceedings of the Royal Society A! doi.org/10.1098/rspa.2… @RSocPublishing We write down transfer entropy/Granger causality between two nodes in terms of the wider network structure they are embedded in. More info in this thread by @jlizier
Our latest on arXiv today, from my student Leonardo Novelli @Eng_IT_Sydney and in collaboration with Fatihcan Atay and Juergen Jost @mismpg: "Deriving pairwise transfer entropy from network structure and motifs" arxiv.org/abs/1911.02931 1/5
How to quantify the effect of new policies on the spread of Covid-19? Fitting some exponential function to the number of cases lacks crucial interpretability of the fitting error. arxiv.org/abs/2004.01105 #tweeprint #COVID19 #AcademicTwitter 1/n
Welcome to twitter @novelli_leo! You may know Leo from hits such as @infotoolkit, "Large-scale directed network inference with multivariate transfer entropy ..." doi.org/10.1162/netn_a… and "Deriving pairwise transfer entropy from network structure..." arxiv.org/abs/1911.02931 :)
Latest paper from @Conor_Finn's PhD thesis now published in @Entropy_MDPI: "Generalised Measures of Multivariate Information Content" mdpi.com/1099-4300/22/2… - We consider how information content (ie per sample entropy) can be decomposed across a set of joint variables: (thread)
Schedule posted now for our Workshop on Methods of Information Theory in Computational Neuroscience at CNS*2019 Barcelona @CNSorg - biomed.cas.cz/~kostal/CNS201… - includes talks from @MWibral @RenaudJolivet @samplingRage @david_shorten and more
Just posted: Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing | mitpressjournals.org/doi/abs/10.116… | @jlizier
Our new paper validating the IDTxl multivariate TE algorithm is about to be published in @netneurosci. Together with @PedroMediano, @MWibral, @jlizier.
Our latest (Novelli @PWollstadt @PedroMediano @MWibral & me) on validating the IDTxl @infotoolkit algorithm appears in @netneurosci - "Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing" mitpressjournals.org/doi/abs/10.116…
New preprint out from us today (including @jmacshine @DrBreaky @russpoldrack): "Transitions in brain-network level information processing dynamics are driven by alterations in neural gain" biorxiv.org/content/10.110…
United States Trends
- 1. Broncos 59.6K posts
- 2. Bo Nix 16.5K posts
- 3. Geno 16.9K posts
- 4. $SMILEY 1,046 posts
- 5. Sean Payton 4,307 posts
- 6. #TNFonPrime 3,831 posts
- 7. YEONJUN 114K posts
- 8. Kenny Pickett 1,429 posts
- 9. Chip Kelly 1,802 posts
- 10. Jalen Green 5,943 posts
- 11. Bradley Beal 2,910 posts
- 12. Pete Carroll 1,643 posts
- 13. Jeanty 6,262 posts
- 14. Troy Franklin 2,350 posts
- 15. Thursday Night Football 6,255 posts
- 16. #criticalrolespoilers 3,668 posts
- 17. Daniel Carlson N/A
- 18. Ty Lue 1,280 posts
- 19. #NOLABELS_PART01 37.2K posts
- 20. Brock Bowers 4,810 posts
You might like
Something went wrong.
Something went wrong.