xcorr: AI & neuro

xcorr: AI & neuro

by Patrick Mineault

  • Good Research Code Handbook
  • Blogxcorr is the blog of Patrick J. Mineault, a PhD student in neuroscience at McGill University. I’m in the 3rd year of my PhD. I will be in the market for a Post-doc position around 2012/2013. I look like this: My email is patrick DOT mineault AT gmail DOT com. Here’s my CV. Studies I did my undergrad at McGill University in the Joint Honours in Physics and Mathematics program, completed in 2007. It involved both theoretical math (algebra, analysis, etc.) and physics (Lagrangian mechanics, GR, etc.). While most of my graduating class indeed ended up doing Physics or Math PhD’s, I ended up in the electrophysiology lab of Chris Pack. Which is great, because Chris is a brilliant, attentive advisor. Perhaps one of the reasons why I ended up in neuroscience is that while taking an elective class in neuroscience, a family member had an aneurysm in the right parietal lobe that left her with visual hemi-neglect. Seeing a person which shares a good deal of your genes fail at very basic visual consciousness is an unforgettable experience. I tried the classic “draw a flower” test and it was exactly like in Kandel & Schwartz, where only petals on…
  • 2022 in review: neuroAI comes of age
    2022 in review: neuroAI comes of age

    2022 has come and gone and we’ve learned a lot about how the brain is – or isn’t – like an artificial neural network. There isn’t a single journal or venue that focuses exclusively on neuroAI so the literature is spread across preprint servers, conference proceedings and the occasional prestige journal. As an end-of-year treat, […]

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    January 1, 2023
  • How science startups actually work
    How science startups actually work

    It’s tough being an academic these days. Between the tiny number of permanent positions and the systemic exploitation of cheap labour, people are looking for a way out. Students, postdocs, and even PIs are asking themselves: should I join a startup? Should I make my own startup? It sounds seductive—change the world! Make money! Keep […]

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    November 3, 2022
  • Large language models will change science
    Large language models will change science

    It takes dedication to keep up with the scientific literature. 2344 papers were accepted at last year’s NeurIPS conference. Who has time to read all of that? It’s difficult to see the forest from the trees as ever more research is published. What if every single one of us had infinite access to world experts […]

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    May 30, 2022
  • What’s the endgame of neuroAI?
    What’s the endgame of neuroAI?

    This blog post was adapted into an article for a16z’s Future. It’s been 60 years since Hubel and Wiesel first started unlocking the mysteries of the visual system. Proceeding one neuron at a time, they discovered the fundamental building blocks of vision, the simple and complex cells. Yet for a long time, neurons in high-level […]

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    May 18, 2022
  • Unsupervised models of the brain
    Unsupervised models of the brain

    We’re in a golden age of merging AI and neuroscience. No longer tied to conventional publication venues with year-long turnaround times, our field is moving at record speed. 2021 saw a Cambrian explosion of research into unsupervised learning to explain brain representations, which is teaching us about how the brain might have evolved for sensing. […]

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    December 31, 2021
  • The Good Research Code Handbook
    The Good Research Code Handbook

    When I was in grad school, I wrote a lot of code which ended up biting me later. It wasn’t until I got a job as a software engineer at Google that I discovered better ways of organizing code. Writing reusable, easy-to-read code is a core skill to have when you’re spending half of your […]

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    December 20, 2021
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