Kording Lab 🦖
@KordingLab
Konrad kording, @Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, http://c4r.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖
Over the past 18 months my lab has been developing a new approach to visual world modeling. There will be a magnum opus that ties it all together out in the next couple of weeks. But for now there are some individual application papers that have poked out.
📷 New Preprint: SOTA optical flow extraction from pre-trained generative video models! While it seems intuitive that video models grasp optical flow, extracting that understanding has proven surprisingly elusive.
I doubt anyone in the administration realizes it, but Trump's war on research universities will make them woker. At universities, wokeness is most concentrated where it began, in the humanities and social sciences. But the cuts to research funding mostly hurt the hard sciences.
Now published open access: Perceptual Control Theory and the Free Energy Principle: a comparison sciencedirect.com/science/articl… @Kihbernetics @AnnaCiaunica @mjdramstead @KordingLab @HenryYin19 @CyberneticsOrg @WiringTheBrain @drmichaellevin @micblackau @leafs_s @Neuro_Skeptic
🚀 New Open-Source Release! PyTorchTNN 🚀 A PyTorch package for building biologically-plausible temporal neural networks (TNNs)—unrolling neural network computation layer-by-layer through time, inspired by cortical processing. PyTorchTNN naturally integrates into the…
These are really amazing positions.
We are happy to announce an opening for a Tenure Track Assistant Professor Faculty Position in Neuroscience at EPFL. Join our groups working on cellular & circuit neuroscience & neurocomputation - go.epfl.ch/brain. Deadline Oct 1 2025, Apply now - go.epfl.ch/neurofaculty
Not studying animal models would halt basic neuroscience. We don’t have good AI models of animal brains to study and we can’t study human brains at single spike single neuron resolution. Studying the brain using fMRI is like studying the economy from a telescope on the moon.
The @NIH announcement of no “animal model only” grants is arguably a bigger deal than the pending 40% budget cut. The question is what it really means. e.g., mice + AI = “not pure animal model” grant etc. @NIHDirector_Jay @NIH @HHSGov please clarify. I’m getting Qs galore.
There are a million things in neuro/ AI teaching that would benefit from great open source tutorials. For students making such could be great training. We should make such a library!
Leading the charge for more rigorous, reliable science 🧠 > We're an @NIH_NINDS funded initiative to create a FREE, online curriculum to learn, practice, and promote scientific rigor. > Explore our first beta units now live at c4r.io/units
Since 1950, NINDS has been at the forefront of understanding the brain and nervous system. From groundbreaking research to training future scientists, NINDS continues to push neuroscience forward. Learn more about #NINDS75 at ninds.nih.gov/75years
Trump administration’s budget plan “would essentially end America’s longstanding role as the world leader in science and innovation” and ... “is threatening not only science but the American public. If approved by Congress, it will make the public less safe, poorer and sicker.”
Introducing: Consensus Deep Search 🔬 Deep Search is a research agent that conducts literature reviews across 200M academic papers in two minutes.
Fully open machine learning requires not only GPU access but a community commitment to openness. (Some nostalgic lessons from the ImageNet decade.) argmin.net/p/an-open-mind…
I read this Cell paper that argues to have discovered a molecule (betaine) that mimics the geroprotective effects of exercise. This is a very valuable multi-omics resource, but the authors seemed to get caught in the rabbit hole of chasing a high-impact narrative🧵
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s41586…
I am a bit surprised about the results. Gemini when it’s code threw syntax errors explained to me it did not make any mistakes but that the stupid Linter did not use the correct standard definitions.
Which is the most arrogant LLM voice out there?