Information Dynamics Toolkit xl @infotoolkit
The Information Dynamics Toolkit xl (IDTxl) in Python. Comprehensive analysis of information dynamics from time series. github.com/pwollstadt/IDT… Frankfurt, Germany Joined May 2018-
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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…
New preprint by @ThosVarley using IDTxl for transfer entropy analysis of spiking neurons in the macaque cortex during different tasks.
New preprint by @ThosVarley using IDTxl for transfer entropy analysis of spiking neurons in the macaque cortex during different tasks.
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
New paper using IDTxl to analyze visual scan paths
@ThosVarley @dan_marinazzo @jmacshine @olivercliff 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!
Our software showcase on information theory in computational neuroscience using JIDT/IDTxl at #CNS2020Online @CNSorg is starting in just over 30 mins - be there!
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…)
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
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
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 new paper validating the IDTxl multivariate TE algorithm is about to be published in @netneurosci. Together with @PedroMediano, @MWibral, @jlizier.
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…
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