Kai Ueltzhöffer

@KaiUeltzhoeffer

Physicist and physician doing theoretical and cognitive neuroscience. Tweets on neuroscience, maths, physics, biology, evolution, and occasionally random stuff.

Heidelberg, Deutschland
kaiu.me
Vrijeme pridruživanja: listopad 2011.
4 fotografije ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    11. lis 2018.

    „Deep Active Inference“ was accepted for publication in Biological Cybernetics 😊 Check out the accepted manuscript here:

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  2. proslijedio/la je Tweet
    27. sij

    Some interesting papers around at the moment suggesting that classic perception and cognition biases/effects are attributable to noisy inference. This one tackles prospect theory!

    New preprint with Jan Balaguer, Bernhard Spitzer and now out on this topic: Why are our decisions sometimes “irrational”? Take the example below. Which lottery do you prefer in scenario 1? What about scenario 2? 1/12
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  3. proslijedio/la je Tweet
    29. sij

    Today I will be teaching my undergrad course "How to build a brain from scratch" for the 2nd year running. I've put the materials online - include a document with all lecture slides and notes, which is about as long as a decent novel. Enjoy!

    27 replies 282 proslijeđena tweeta 891 korisnik označava da mu se sviđa
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  4. proslijedio/la je Tweet
    23. sij

    Thank you for an excellent talk on Hierarchical Bayesian Inference for concurrent model fitting and comparison. The talk is now available online: along with many others.

    1 reply 5 proslijeđenih tweetova 23 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    22. sij

    Active inference on discrete state-spaces: a synthesis.

    6 proslijeđenih tweetova 13 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    18. sij

    My paper is out on ! We explored movement signals in visual cortex and found a lot of surprising things.

    Encoding of 3D Head Orienting Movements in Primary Visual Cortex
    50 proslijeđenih tweetova 136 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    20. sij

    Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies - join us for online talk by this Thursday 23rd Jan at 4pm UTC

    15 proslijeđenih tweetova 34 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    9. sij

    Over 100 people showed up to the first MIT class on Programming with Categories - taught by , David Spivak, and Brendan Fong! You can watch this and all future classes on YouTube. Later they will write a book. (1/n)

    6 replies 127 proslijeđenih tweetova 574 korisnika označavaju da im se sviđa
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  9. proslijedio/la je Tweet
    4. sij

    Neuron November 18, 2019 Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning

    9 proslijeđenih tweetova 29 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    2. sij

    Enough people asked for details that I wrote something about Bayesian iterated mark-and-recapture here: .

    0:24
    To count an animal population if you can't catch them all: capture some, mark them, release, and capture again. The ratio of new vs already seen tells you something about the total number. Shown here is iterated mark-and-recapture with a Bayesian updates to belief about pop size
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  11. proslijedio/la je Tweet
    29. pro 2019.

    Still looking for a New Year's resolution? How about learning how to use Markov chain Monte Carlo in practice _responsibly_ with my latest case study, . Risk management isn't just for business seminars anymore!

    31 proslijeđeni tweet 141 korisnik označava da mu se sviđa
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  12. proslijedio/la je Tweet
    24. pro 2019.

    Interesting conclusion of a great thread (& paper!)

    So what does this mean for our understanding HPC function? ATM, I believe that neuropsychological theories (memory, space) contain less explanatory power than computational theories (cc ) 11/
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  13. proslijedio/la je Tweet
    11. pro 2019.

    David Krakauer on niche construction: “Niche construction is only possible when the organism has a monopoly on some free energy resources... The body is a near perfect ecological monopoly... Development is a special kind of ecosystem.”

    4 proslijeđena tweeta 17 korisnika označava da im se sviđa
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  14. 16. pro 2019.

    Very nice explanation of free energy in statistical physics. Please note that this is not the variational free energy used in approximate Bayesian inference (or related theories of brain function). For some thoughts how these might be related please see .

    What's "free energy"? I don't mean energy you get for free. I mean the concept from physics: roughly, energy that you can use to do work. More precisely, free energy is energy that you can use to do work at constant temperature. But why the fine print? (1/n)
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  15. proslijedio/la je Tweet
    29. stu 2019.

    What's "free energy"? I don't mean energy you get for free. I mean the concept from physics: roughly, energy that you can use to do work. More precisely, free energy is energy that you can use to do work at constant temperature. But why the fine print? (1/n)

    11 replies 123 proslijeđena tweeta 455 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    15. pro 2019.

    Bayesian deep learning workshop talks from NeuRIPS 2019 are already available online:

    77 proslijeđenih tweetova 250 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    13. pro 2019.

    A solution to the learning dilemma for recurrent networks of spiking neurons, et al. They show that spiking neural nets (CNN+LSTM) can learn via “e-prop” to play Atari games. Cool work presented at Biological RL Workshop at 🧠

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  18. proslijedio/la je Tweet
    4. pro 2019.

    We introduce Dreamer, an RL agent that solves long-horizon tasks from images purely by latent imagination inside a world model. Dreamer improves over existing methods across 20 tasks. paper code Thread 👇

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  19. proslijedio/la je Tweet
    27. stu 2019.

    A fun little puzzle if you've not seen it before: You come across these bike tracks in the snow. Was the bike travelling to the left or the right? (I first saw a puzzle like this on Futility Closet)

    38 replies 112 proslijeđenih tweetova 450 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    26. stu 2019.

    A new preprint from myself, , and : "scaling active inference":

    1 reply 18 proslijeđenih tweetova 44 korisnika označavaju da im se sviđa
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  21. proslijedio/la je Tweet
    31. lis 2019.

    New paper! Using a new VR-based grasping task and fMRI-DCM, we show that a task-induced attentional set to vision *or* proprioception is reflected by diametrical changes in neuronal gain in visual (V1) vs somatosensory (S2) areas.

    15 proslijeđenih tweetova 40 korisnika označava da im se sviđa
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