Ronald Sladky

Maybe the amygdala is not angry or sad or afraid - it's just misunderstood! “An active inference perspective for the amygdala complex” is online in @TrendsCognSci sciencedirect.com/science/articl… @ScanUnit @HaubensakL @univienna [1/8]

@YouTube Ronald Sladky - Of hidden springs and endless oceans youtu.be/T044KkOwYXE?si… via @YouTube

Predictive Thinking: How Your Brain Predicts the Future You can watch my public lecture here: #c1150060" target="_blank" rel="nofollow noopener">cogsci.univie.ac.at/futurethinking…

@mokriegleder we will discuss it again in the journal club today - are you also coming?

fascinated by the zero person perspective and their discussion of groundless experience, but i am not sure metzinger and friston share all that much in the end...

In this talk, I will gently introduce you to the Predictive Processing theory and Karl Friston's Free Energy Principle -  concepts that could transform the way we understand the brain and our everyday experiences. It turns out, thinking might not be what you think.

According to the brain, it is the most fascinating organ in the universe. Despite all we have learned, we’re still far from fully understanding how it works, how it shapes our reality, and fuels both joy and sorrow. Yet, a groundbreaking new theory could change that.

Join my public lecture today: Predictive Thinking: How Your Brain Predicts the Future 22 October, 18:30, Hörsaal 1 cognitivescience.univie.ac.at/futurethinking/

@PessoaBrain @KordingLab @MillerLabMIT a gradient descent on varational free energy?

@KordingLab @MillerLabMIT We solved some big problems of how the brain actually works! Konrad insisted it's all gradient descent and I that it's all entangled. Very predictable!!

Had a delightful breakfast with @PessoaBrain. Now I just need beers with @MillerLabMIT :)

i had a wonderful time with the @moc5conference community. i presented my new WIP preprint on minimal phenomenal experience × active inference × the dual origin hypothesis. does MPE break the free energy principle? Of Hidden Springs and Endless Oceans osf.io/preprints/psya…

Our comparative MAPseq study is out at Current Biology today! tl;dr: the organization of BLA projections to frontal cortex is different between macaques and mice cell.com/current-biolog…

@PessoaBrain not only do i cite your papers - i read them too ;)

@sweetneuron Whole brain dynamics is always the correct answer 🤣

Poll: What brain region is mostly involved here?? Please indicate also if you're a neuroscientist (at any level, say undergrad) or not. BNST: bed nucleus of the stria terminalis

📢Our latest preprint reveals that biological neurons can learn faster than deep Reinforcement Learning algorithms. Using DishBrain, we compared in vitro neuronal networks with RL algorithms. The result? Biological neurons showed superior sample efficiency and learning speed!

just found out these scary math symbols are just while loops

Honored&humbled to receive APS 2024 Mentor Award. didn't pick it up in person at @PsychScience because I don't fly for 'business' anymore 👉 noflyclimatesci.org But I look 4wd to the APS Global Psychological Science virtual summit in fall🙏to my mentees & @robert_bohm 4 pic

💢5th International Conference on #ActiveInference (IWAI2024) 📷iwaiworkshop.github.io ⏰When: September 9-11, 2024 Where: Oxford University --Deadlines-- Abstract: May 24th, 2024 Submission: May 31st, 2024 Acceptance: July 14, 2024

What does a #dog 🐶think 🧠(or rather, its brain do) when it is being pet? Check out our study, freshly out in @BrainStrucFunc link.springer.com/article/10.100… @MagdalenaBoch @sweetneuron @SabrinaKarlDogs Lucrezia Lonardo, Ludwig Huber and @ClausLamm

So much fun happening in the @ScanUnit 😂

Happy to announce that my book is now published. It's an undergrad level computational neuroscience textbook with a focus on modeling. It's great for the classroom, but also for readers from other fields (such as ML/AI) who want to learn about biological neural networks (1/n)

Second session of my lecture is about to start. #ik2024 @IKspringschool We discuss brain connectivity, DCM and how free energy becomes useful for data analysis.

We are active with the RxInfer.jl learning and application group at the Institute. All are welcome to join and participate, as together we upskill in this cutting-edge open source package for Active Inference models from @bertdv0 et al. Next week on at 14 UTC on 2/29 we will be focusing on the Coin Toss example (each week will feature an example, or later, a project). reactivebayes.github.io/RxInfer.jl/sta… github.com/ReactiveBayes/… Curious about what participation looks like? There are many ways to get involved, asynchronously and in live meetings. Post here or contact blanket@activeinference.institute if you have any questions.