I've spent the past year on a passion project, asking: When it comes to understanding the brain, what are we trying to achieve? What have we learned? What challenges do we face? And what's our plan? As I pull it all together into a book, I want to champion these 11 references:

Any #XAI experts in my network? I am seeking reading recommendations for explainable AI papers on network analysis methods and a topological/structural approach to explanation. Any must-reads for my current research project? Thanks in advance! 🧠 #explainableAI #ReadingList

How about using AI to prevent anyone from wanting to create a bioweapon?

Nearly three-quarters of tested psychological scales failed the test of measurement invariance needed for meaningful group comparisons psycnet.apa.org/record/2024-39…

Hey Andrew Gordon Wilson, thanks for sharing your thoughts. I am not a radiology expert, but to address a broader, related point -- isn't the success of these methods in this setting due to the huge amount of annotated data available, coming from real, qualified radiologists? As far as I

Hi Damien, thanks for raising the issue. I am not sure I fully buy into the "camps" comparison, with all due respect, and I would add that most folks I know who are doing causal inference research are not focused on the worst-case scenario but on systematic "understanding," which

Our paper "Transdisciplinary Philosophy of Science: Meeting the Challenge of Indigenous Expertise" is now out in Philosophy of Science. This one is close to my heart both in message and in collaborative format cambridge.org/core/journals/…

We'll likely have a 2-year postdoc position in our lab (MetaMelb) in psych at Melbourne Uni, starting later this year. If you have a PhD, do relevant stuff, & want to spend 2 years in Melbourne studying psychology research methods & practices, please get in touch! Please share!

Today, AlphaFold 3 came to life. A monumental leap toward the world of biomolecules. Predicting structures across proteins, nucleic acids, and small molecules. The world just changed - let me try to break it down the best I can. 🧵OPEN THE THREAD🧵

One thing that even relatively senior ML people often fail to grasp is that deep learning models are curves fitted to a data distribution. You cannot expect them to solve tasks outside of their training distribution (which is the sort of thing that you need intelligence for).

Academic publishing would really benefit from adding a category of "substantive citation", where the author highlights that a source is actually discussed, replicated, contradicted (etc.) in the paper. I would guess about 95% of citations are non-substantive.

Regular reminder. As an academic, student, postdoc, or professor, you accept less pay and more stress. It is only worth doing if what you do truly matters. Do that high-risk project. Because the boring project does not justify the downsides of academia. For the love of ideas.

really enjoyed this episode! Kording Lab 🦖: "for every neural dataset... there is an infinite set of biologically meaningful, potentially realistic models that will predict exactly that dataset" how do we decide what approaches are worth studying? it often feels dogma-driven 1/2

Hijacked or fake journals are among the top ten in philosophy in Scopus retractionwatch.com/2024/06/12/how…

Not all inquiries are like whodunnits, uncovering the pre-existing facts that provide the answers to our questions. Sometimes, we need to create or revise the frameworks that delineate the very object of our inquiry. That is a creative act, from beginning to end!

Accounts of learning typically focus on learning from external observations. But sometimes we learn without external input - we "learn by thinking". In this review, out today in TiCS, I consider learning by thinking across natural and artificial minds...

I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a "compressed 21st century". The "compressed 21st century" comes from Dario's "Machine of Loving Grace" and if you haven’t read it, you probably

RFK Jr. went on national TV and spouted egregious, dangerous falsehoods about vaccines. As a parent and infectious diseases doctor, I couldn't stay silent. Fox News might not fact-check him, but I will. I've reviewed the trials. I've catalogued them. I have receipts. 🧵

Key to research success: ambition in vision, but pragmatism in execution. You must be guided by a long-term, ambitious goal that addresses a fundamental problem, rather than chasing incremental gains on established benchmarks. Yet, your progress should be grounded by tractable