Why Correlation Isnβt Causation in Brain Data
Why do correlations between brain signals not suggest causal relations?
this was super fun ... I'm looking forward to part 2! Here is some useful background:
Konrad's essay on causality: tinyurl.com/bd78ztyk
My paper on learning causal models: x.com/dyamins/stat...
15.10.2025 04:23 β π 2 π 0 π¬ 1 π 0
Hear @dyamins.bsky.social and yours truly discuss causality and ml: x.com/kordinglab/s..., www.youtube.com/watch?v=R-54...
14.10.2025 15:10 β π 16 π 4 π¬ 1 π 0
Here is our best thinking about how to make world models. I would apologize for it being a massive 40-page behemoth, but it's worth reading. arxiv.org/pdf/2509.09737
15.09.2025 23:47 β π 71 π 18 π¬ 2 π 2
PhD Admissions
Lots of people are pinging me re PhD applications lately, here is what I tell them. I accept PhD students
through: (1) CS (tinyurl.com/4azymrbu Comp Cog Neuro track), (2) Psychology tinyurl.com/4v7793tz and (3) Neuro tinyurl.com/ycx658h9. Good luck!
27.08.2025 18:16 β π 4 π 0 π¬ 0 π 0
Home
Hey come to our workshop if you're at CCN this year! neuroailab.github.io/modeling-the...
08.08.2025 13:00 β π 2 π 0 π¬ 0 π 0
Data on the Brain & Mind
This looks like it will be fun data-brain-mind.github.io Neurips '25
07.08.2025 17:01 β π 4 π 0 π¬ 0 π 0
It was a steep climb in the "early days" (~2012) up the ImageNet gradient towards better visual system models. That tapped out ~2015 after resnet ...
But now w/ video models starting to perform, we can push forward again. Task-driven brain models ftw. amazing...
@mschrimpf.bsky.social
30.07.2025 15:03 β π 7 π 2 π¬ 0 π 0
π New Open-Source Release! PyTorchTNN π
A PyTorch library for biologically-inspired temporal neural nets: unrolling computation through time. Integrates with our recent Encoder-Attender-Decoder, which flexibly combines models (Transformer, SSM, RNN) since no single one fits all sequence tasks.
π§΅π
24.07.2025 16:21 β π 36 π 11 π¬ 1 π 1
Do science folks basically post the same thing here as on Twitter?? Is that the best practice? (I feel very underpowered/ underprepared) when it comes to science social media.
25.07.2025 07:54 β π 3 π 0 π¬ 0 π 0
Going to #Cosyne2025?
Join us (w/ @mdiamantaki.bsky.social) for our exciting workshop
Object-centric Neuronal Representations
toliaslab.org/workshop/cos...
Featuring diverse speciesπββοΈππππ·οΈπ€
Our goal: Discuss universal & species-specific principles of object-centric vision
See you in Montrealπ₯³
25.03.2025 16:57 β π 12 π 3 π¬ 0 π 1
Only 4 days to go until our workshop!! πͺ°ππ€
If you're at COSYNE, don't miss out on incredible talks and inspiring panel discussions at "Agent-Based Models in Neuroscience: Complex Planning, Embodiment, and Beyond" on March 31 :)
Check out the latest schedule: neuro-agent-models.github.io
27.03.2025 11:27 β π 7 π 4 π¬ 1 π 0
Computational neuroscientist, NeuroAI lab @EPFL
Systems and computational neuroscientist with a theory heart. Associate professor @TsinghuaUniv; previously at Allen Institute; MIT; Einstein.
www.dgp.toronto.edu/~hertzman
Professor at Stanford. Psychology/Neuroscience/Data Science. Books include: The New Mind Readers, Handbook of fMRI Data Analysis, Hard to Break, and Statistical Thinking.
https://poldrack.github.io/
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in MontrΓ©al (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
Neuroscientist, Marie SkΕodowska-Curie Postdoctoral Fellow, Systems Neuroscience Lab @IMBB_FORTH
Neuroscience, NeuroAI | https://kfranke.com/ | Senior Scientist at Stanford working at https://enigmaproject.ai/
Assistant Professor of Machine Learning, Carnegie Mellon University (CMU)
Building a Natural Science of Intelligence π§ π€β¨
Prev: ICoN Postdoctoral Fellow @MIT, PhD @Stanford NeuroAILab
Personal Website: https://cs.cmu.edu/~anayebi
Neuroscience & AI at University of Oxford and University of Cambridge | Principles of efficient computations + learning in brains, AI, and silicon π§ NeuroAI | Gates Cambridge Scholar
www.jachterberg.com
The Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
Neuroscientist. Long-form opinions at https://markusmeister.com.
Assistant Professor, Canada Research Chair in Visual Neuroscience, @yorkuniversity, Visiting Scientist @MIT, Previously: Postdoc(@MIT), PhD (@RutgersU)
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
Professor | Weill Cornell Medicine Radiology & Cornell University.
Computational neuroimaging, womenβs brain health, neuroAI, psychedelics, brain-behavior mapping. Mom, jogger, avid reader.
Lab site: cocolaboratory.com
Bowers WBHI: wbhi.ucsb.edu
Language processing - Neuroscience - Machine Learning - Assistant Professor at Stanford University - She/Her - π³οΈβπ
Language and thought in brains and in machines. Assistant Prof @ Georgia Tech Psychology. Previously a postdoc @ MIT Quest for Intelligence, PhD @ MIT Brain and Cognitive Sciences. She/her
https://www.language-intelligence-thought.net
UT Austin linguist http://mahowak.github.io/. computational linguistics, cognition, psycholinguistics, NLP, crosswords. occasionally hockey?
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, π¦ , c4r.io
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine.
lampinen.github.io