📢 Sharing a new preprint out today led by my former PhD student @david_shorten with @ViolaPriesemann & Michael Wibral & I: "Inferring Effective Networks of Spiking Neurons Using a Continuous-Time Estimator of Transfer Entropy" https://t.co/oYDnZT6ygK
This photo deserves to be everywhere. Every newspaper. Covers of books. Profile pictures. Every piece of 2027 promotional material. People should get it tattooed. Put it on the back of the next Springbok jersey. Put it on the back of every team’s jersey. Iconic, instantly.
🦐Did you know Antarctic krill swarms are one of the largest known animal aggregations? Yet, little is known about how these swarms are formed and maintained.
@Sydney_Uni researcher @jlizier and partners have shed light on the question, addressing how social factors play a role.
I used to drink tons of Diet Coke but it’s been one month since I’ve had a drop.
I want to share some of the changes I’ve observed in myself over that time:
- My health is unchanged
- I’m less happy
- My one source of joy is gone
Thanks for encouraging me on this journey!
See the illuminating analytical work by @novelli_leo@adeelrazi showing that the static nFC may suffice to replicate resting-state edge-centric findings both quali & quantitatively, without relying on edge time series nor any temporal correlations.
https://t.co/JeRiEUUag1
Do you use Pearson correlation? Dynamic time warping? Granger causality? Any of the other hundreds of methods for measuring relationships between two time series? In new work, we show how each relate to one another, and can be combined to address scientific problems
New preprint! @olivercliff w/ @NaoTsuchiya@jlizier: "Unifying Pairwise Interactions in Complex Dynamics". Want to quantify the relationship between two time series? We compared over 249 pairwise dependence measures on >1000 multivariate time series 😮
https://t.co/euhDhozNcu
Preprint with @bendfulcher on an empirical comparison of software toolkits across many languages for extracting time-series features is now up! This work has also been accepted into the SFE-TSDM IEEE Conference in December 🥳 https://t.co/xxfK6thGoz
If you want to measure information flows between event-based data (think spike trains, financial ticks, disease isolates and more), @david_shorten has super easy open source code in Julia! Check out his recent application to neural development
New preprint led by my PhD student @david_shorten (w/ @MWibral @ViolaPriesemann): "Early lock-in of structured and specialised information flows during neural development" https://t.co/xvY6ldILNi 1/5