Michele Nardin (he/him)(@michnard_) 's Twitter Profileg
Michele Nardin (he/him)

@michnard_

Theory Fellow at @HHMIJanelia.
Formalization of brain functions.
Graduate from @ISTAustria.

ID:1724388583308447744

linkhttps://www.michnard.net/ calendar_today14-11-2023 11:27:47

19 Tweets

153 Followers

282 Following

Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

Job titles shape perceptions and realities—we should start by dropping the old-fashioned and misleading 'PhD student' and 'postdoc' titles!

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Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

🔖📋📝🤓'There is more to theory in biology than replicating the results of experiments' - Thank you, Eve Marder!! doi.org/10.7554/eLife.…

🔖📋📝🤓'There is more to theory in biology than replicating the results of experiments' - Thank you, Eve Marder!! doi.org/10.7554/eLife.…
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Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

Cool piece Richard Gao, especially the discussion on the definition of computational neuroscience and the difference between AI4neuro vs NeuroAI. Thanks! 🙏

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Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

🤓🌟🥳 So happy this is out! Big thanks and shout out to Jozsef Csicsvari, Gašper Tkačik, and Cristina Savin! In-depth tweet to come :)

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4️⃣ In 2023, Janelia research provided insights into some of biology’s deepest mysteries. 🧵 (1/5)

🧠 This includes a new theory about how the brain stores memories
🔗janelia.org/news/new-theor…

4️⃣ In 2023, Janelia research provided insights into some of biology’s deepest mysteries. #Janelia2023 🧵 (1/5) 🧠 This includes a new theory about how the brain stores memories 🔗janelia.org/news/new-theor…
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-Academia’s “endless trainee” syndrome-

Research positions for young (and not so young) researchers are almost invariably “training positions”; hence, they are paid badly (isphdforme.com/reasons-phd-st…) and are poorly recognized outside academia (nature.com/articles/d4158…).

DALL-E pic:

-Academia’s “endless trainee” syndrome- Research positions for young (and not so young) researchers are almost invariably “training positions”; hence, they are paid badly (isphdforme.com/reasons-phd-st…) and are poorly recognized outside academia (nature.com/articles/d4158…). DALL-E pic:
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Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

'Scientists overestimate their ability to become and remain experts across too many domains, and underestimate the time required to solve technical problems.'. Cannot agree more, Jakob Voigts! Great article!

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Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

🤓Excited to give a talk at SAND10 (Statistical Analysis of Neural Data) in Pittsburgh next week! :)
sandworkshop2023.wordpress.com

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Michele Nardin (he/him)(@michnard_) 's Twitter Profile Photo

Interested in learning about the Information Bottleneck method? Too mathsy for your taste? 🤓

Here's a small tutorial+code on the basics of the Gaussian Info Bottleneck! github.com/michnard/GIB_t…

Let me know if you have suggestions or requests! :)

Interested in learning about the Information Bottleneck method? Too mathsy for your taste? 🤓 Here's a small tutorial+code on the basics of the Gaussian Info Bottleneck! github.com/michnard/GIB_t… Let me know if you have suggestions or requests! :)
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