A fantastic new laboratory at UCSF! Strongly recommended!
To accommodate applicants and PIs attending Cosyne, we’ve extended the MCN application deadline to Sunday, Mar 22.
Please repost.
The deadline for applying to the Methods in Computational Neuroscience summer course at MBL in Woods Hole is approaching (March 16)! An exciting course with an amazing lineup of lecturers in a beautiful location www.mbl.edu/education/ad...
The geometry of biased decisions! A great collaboration with @rnogueiraneuro.bsky.social , Saleh Esteki and @roozbehkiani.bsky.social
Explicit and implicit modularity that emerges in simple neural network models even in the absence of anatomical constraints. Whether modularity emerges or not strongly depends on the geometry of the inputs and other factors. Extensively revised article with many new results. With @wjj.bsky.social
Our new paper, now published in @natcomms.nature.com , asks a simple question: when two tasks share a common structure, does the brain learn them more efficiently? Surprisingly, this was not the case. Thread below (1/7)
rdcu.be/eSwvU
“I will die on the hill that population coding is the relevant level of encoding information in the brain.” In the latest “This paper changed my life,” Nancy Padilla-Coreano discusses a paper on mixed selectivity neurons.
#neuroskyence
www.thetransmitter.org/this-paper-c...
When @natrevneuro.nature.com asked me to highlight a paper that influenced both my field and my own research, I immediately thought of the work on mixed selectivity by @matrig.net, @stefanofusi.bsky.social, and colleagues.
More on this journal club: rdcu.be/eRKLk
Great collaboration with the Doeller lab, and hopefully the first of a long series
Oct 30, 4:30
"How does the Geometry of Brain Activity Shape Behavior?"
Valeria Fascianelli; moderator Stefano Fusi, Zuckerman Institute, Columbia.
Open seminars series; register here: tinyurl.com/379uda2z
@valeriafascianelli.bsky.social ,
@columbiauniversity.bsky.social, @stefanofusi.bsky.social
Nature Communications - Here, the authors show learning tasks with similar structures can initially cause interference and slow down learning, but both the brain and artificial networks gradually...
The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.
www.thetransmitter.org
Nature Reviews Neuroscience - In this Journal Club, Fanny Cazettes highlights a 2013 paper that demonstrated the importance of mixed selectivity for cortical computations.
Join us in Woods Hole for Methods in Computational Neuroscience (MCN) at MBL (July 24–Aug 21).
Four weeks of computational + systems neuroscience, hands-on training, and close interaction with an exceptional faculty.
We are very excited to announce that our new preprint with Saleh Esteki, @stefanofusi.bsky.social, and @roozbehkiani.bsky.social is now available on biorxiv! www.biorxiv.org/content/10.6.... We investigated how reward context is learned, represented, and updated to bias decisions. Thread 🧵👇! 1/13
When and why do modular representations emerge in neural networks?
@stefanofusi.bsky.social and I posted a preprint answering this question last year, and now it has been extensively revised, refocused, and generalized. Read more here: doi.org/10.1101/2024... (1/7)
By the way, if you’re interested in working together on problems like this, I’m starting my lab at UCSF this summer. Get in touch if you’re interested in doing a postdoc! More info here: wj2.github.io/postdoc_ad (7/7)
Huge thanks to the anonymous reviewers for their feedback and to all collaborators. @mpicbs.bsky.social, @doellerlab.bsky.social, @stefanofusi.bsky.social, @wjj.bsky.social, @vigano.bsky.social, @burkhardmaess.bsky.social and Max Hinrichs.
