Would you like to learn how to use and interpret RNNs for dynamical systems reconstruction (DSR) from #neuroscience data? Then join in for our hands-on OCNS 2023 tutorial on DSR using RNNs from multiple single-unit recordings, fMRI, and/or behavior: durstewitzlab.github.io/cns-2023-tutor…

While many algos manage good short-term predictions, what is tricky is capturing the long-term dynamics. If you know of any other #ML/#AI/ #DataScience algos which can achieve this on real world data, please let us know! Great work by Florian, Manuel Brenner, Zahra Monfared !

Interested in inferring interpretable, low-dim generative dynamical systems models from empirical time series? That after training also mimic the underlying system's long term behavior? Code from our #icml2023 oral now online: github.com/DurstewitzLab/…

Interested in investigating how neuronal dynamics supports the execution of cognitive functions? Join us! 📢PhD position in the Brain Dynamics Laboratory at SantAnnaPisa, Italy. #manifold #RNN #compneuro Deadline for the application: 4 August. unicam.it/bandi/2023/ban…

Project description under ‘code 4.5’: unicam.it/sites/default/… and link to the lab: santannapisa.it/it/istituto/bi…

Find us tommorow, 9am at OCNS Leipzig in the Goethesaal for our tutorial on reconstructing dynamical systems from neural measurements using RNNs, including a hands-on tutorial with code!

New lab in town 🥳 ⁦Eleonora Russo⁩ is a new assistant professor working on #neuroscience #brain #computation #dynamics ⁦SantAnnaPisa⁩

Last days to apply! 👇👇👇👇👇👇👇👇

In this article, Manuel Brenner dives into the fundamental mechanisms of several classes of generative models, shedding light on their inner workings and exploring their origins in and connections to neuroscience and cognition. buff.ly/3LSDiYx

Our Perspective on reconstructing computat. system dynamics from neural data finally out in Nature Rev Neurosci! nature.com/articles/s4158… We survey generative models that can be trained on time series to mimic the behavior of the neural substrate. #AI #neuroscience #DynamicalSystems

We also discuss various ways of linking model latent spaces to the biological substrate through specific configuration of decoder models. This adds another layer of mechanistic interpretability to such models. Jointly with Georgia Koppe & Max Thurm

Excellent perspective/primer/review of 10 years of dynamical systems theory and apps to neuroscience, w/ glossary and 200+ citations. "RNNs...may one day be transformative for our understanding of brain function, perhaps comparable in impact to the advances in optogenetics." 👀

What do psychiatric disorders have to do with dynamical systems and their attractors? Find out in the most recent STRUCTURES blog post by Georgia Koppe: structures.uni-heidelberg.de/blog/posts/202… #structures #computational #psychiatry #neuroscience #brain #dynamical #systems

Highlight of the week from DurstewitzLab: Valuable insights on using Recurrent Neural Networks to study biological neural networks as dynamical systems! nature.com/articles/s4158…

Reconstructing computational system dynamics from neural data with recurrent neural networks — a Perspective by Daniel Durstewitz, Georgia Koppe & Max Ingo Thurm go.nature.com/3PPAufT DurstewitzLab

Reconstructing computational system dynamics from neural data with recurrent neural networks — a Perspective by Daniel Durstewitz, Georgia Koppe & Max Ingo Thurm go.nature.com/3PPAufT DurstewitzLab

How to analyze comput. & dynamic mechanisms of RNNs? 1/2 Our #NeurIPS2023 spotlight on a highly efficient algo for locating all fixed points, cycles, and bifurcation manifolds in RNNs: arxiv.org/abs/2310.17561 NeurIPS Conference By brilliant Zahra Monfared, Lukas Eisenmann, Nic Göring

Freely access electrophysiological, morphological, and transcriptomic data measured from thousands of individual mouse & human brain cells via the Allen Cell Types Database: celltypes.brain-map.org #openscience #SfN23

So happy to see this finally out! 🥳Published today in Neuron cell.com/neuron/fulltex… Jastyn Pöpplau spearheaded the study of prefrontal circuits during late development and identified a “critical period” of cognitive processing. Great teamwork!👏 Short thread below👇

I am thrilled to present tomorrow my #NeurIPS paper on #GradientFlossing, which is a novel approach to tackling the exploding/vanishing gradient problem based on concepts from dynamical systems theory (Lyapunov exponents): openreview.net/forum?id=jEQRo… 1/n