Jan Drugowitsch @jdrugowitsch@qoto.org
- Google Scholar
- https://scholar.google.fr/citations?user=fCUx98wAAAAJ
Computational neuroscientist at Harvard Medical School, can also be found at Twitter as @jdrugowitsch
Hi everyone 👋 ! #introduction
I am an Associate Prof. at Harvard Medical School, and am interested in figuring out how the brain works 🧠 . In particular, how do its neural dynamics implement the probabilistic computations required for efficient behavior? We ask this question from the theoretical perspective 💻 , using tools from machine learning and physics, and collaborate with experimentalists 🐭 🙈 👤 to test the arising theories.
In the past I have worked a lot on decision-making - both perceptual and value-based - normative models for the speed-accuracy trade-off, and how this relates to decision confidence and attention. Currently, we are looking into probabilistic reasoning about more structured objects, like hierarchies, and at efficient navigation in light of uncertain sensory information.
Happy to be here!
Hello everyone!
An #introduction: I'm an educator specializing in computational neuroscience and neuroAI. Specifically, I'm in charge of education for the new Kempner Institute and a lecturer at Harvard. I also serve as executive director of Neuromatch Academy 🌍
I care a lot about making computational topics open and accessible to everyone and love thinking about and sharing engaging tutorials, examples, visualizations, etc.
I'm excited to be here 😀
Hello beautiful people! I'm a computational neuroscientist working on sensory-motor control. Lately, my lab has been working on recurrent neural networks and spiking nets (all still in the pipeline) and I'm here to exchange and learn about these and other topics.
How does the brain discover motion relations from the volatile visual stream? And how does discovered structure shape #MotionPerception? Find out more in our work with @gershbrain and @jdrugowitsch, now published in Nature Communications: https://www.nature.com/articles/s41467-022-34805-5.
Dear fellow scientists, I know it's been said many times before but please please make a Google Scholar page and make it public? It makes life so much easier when going through tens and tens of unknown names (like I'm doing right now to help select symposia for a conference): one can find your latest papers, your most cited papers, etc. And if you have some principled objection to Scholar or to their stock-market-style citation counter, I get it and that's fine, but at least do orcid.org?
For those attending #neurips this week and are staying for the workshops, come check out the excellent work of John Vastola and Zach Cohen (and me) in the NeurReps workshop on how latent neural manifolds relate to the statistics of neural population activity! Oral presentation @ 10:30am CST, and at the workshop posters.
John has more details in his Twitter thread: https://twitter.com/johnjvastola/status/1597957423074930690?s=20&t=yQ7Gw6hhkcLRM5vpxs6TzA
@eLife is there a way to download a PDF with the figure-supplements? if there is not can you make it so there is one?
Hi everyone 👋 ! #introduction
I am an Associate Prof. at Harvard Medical School, and am interested in figuring out how the brain works 🧠 . In particular, how do its neural dynamics implement the probabilistic computations required for efficient behavior? We ask this question from the theoretical perspective 💻 , using tools from machine learning and physics, and collaborate with experimentalists 🐭 🙈 👤 to test the arising theories.
In the past I have worked a lot on decision-making - both perceptual and value-based - normative models for the speed-accuracy trade-off, and how this relates to decision confidence and attention. Currently, we are looking into probabilistic reasoning about more structured objects, like hierarchies, and at efficient navigation in light of uncertain sensory information.
Happy to be here!
The #COSYNE2023 #abstract #submission #deadline is *today*. Get your work in and come share it with us in Montreal!
Please boost this!!!!
- Google Scholar
- https://scholar.google.fr/citations?user=fCUx98wAAAAJ
Computational neuroscientist at Harvard Medical School, can also be found at Twitter as @jdrugowitsch
