Reconstructing higher-order interactions in coupled #dynamical #systems (h/t David Lusseau)
https://www.nature.com/articles/s41467-024-49278-x
Reconstructing higher-order interactions in coupled #dynamical #systems (h/t David Lusseau)
https://www.nature.com/articles/s41467-024-49278-x
'Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics', by Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles.
http://jmlr.org/papers/v25/23-0777.html
#dynamical #dynamics #learns
Thought I‘d try something: this book by Juerrero has come up a lot in some of the most interesting conversations I‘ve had on this platform about #causality, #complexity #neuroscience #agency #behaviour #mind and #brain and #dynamical systems but it‘s not an easy read. I am now determined to tackle it and will be posting updates as I go…
care to join me? OA at https://mitpress.mit.edu/9780262545662/context-changes-everything/
Algebraic Structure of Discrete-Event Dynamical Systems, and Applications - call for abstracts.
Spectral learning of Bernoulli linear dynamical systems models for decision-making
Unifying physical systems’ inductive biases in neural ODE using dynamics constraints
Yi Heng Lim, Muhammad Firmansyah Kasim
Just saying that from where I stand there are no external information sources that can or should be regulated. Everything is just #data.
Every one of us as a #dynamical #learning #system creates our own #information based on whatever data we deem trustworthy in this external cacophony.
What data we select to create our own information and what we make with it depends solely on the internal state of our current #knowledge.
The environment can throw anything at you but what you make of it is up to you. While someone may get “sucked in” the downward spiral of conspiracy theories, others (with a different knowledge state) will just get annoyed.
So, bottom line? #Education is of paramount importance.
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C Geiger
Years ago, while working with a SW development organization, I was arguing that their #Agile SW development process is already structured as a #Dynamical #Learning #Organization. They just have to make sure they keep track, analyze, document, and possibly standardize procedures discussed in their daily #Scrum meetings because that’s where their organizational #Knowledge (#Culture) is created and maintained.
During the course "#Qualitative #theory of #dynamical systems" taught @UNamur, I asked students to report me their favourite application of the Implicit Function Theorem (IFT). In this unit, this #theorem plays a pivotal role for #bifurcations and preservation of #equilibria.
A student reported me that we can prove the existence of a return time for #Poincaré map of vector fields having a periodic orbit using the IFT. Here how :
https://twitter.com/daquin_jerome/status/1595457028289449985?s=19
Time for a short #introduction
I am Jerome, senior postdoc, applied #mathematician #FNRS fellow working at the #University of #Namur, #Belgium. I use #dynamical #system #theory to make near #Earth #space #cleaner, #safer, and more #sustainable. I have worked extensively on the #SpaceDebris problem, and on the modelling of this #environment on secular timescales. #chaos - #resonances and #nonlinear phenomena are things I like in #mathematics #astrodynamics and #CelestialMechanics
@fractalkitty #In #mathematics, #catastrophe #theory #is #a #branch #of #bifurcation theory in #the #study of #dynamical #systems; #it is #also a #particular #special #case of #more #general #singularity #theory in #geometry.