Scientists have long debated whether neurons are jacks of all trades or tend to specialize in one thing. Now @stefanofusi.bsky.social, @lorenzoposani.com & Liam Paninski present new evidence in @nature.com shedding light on how the brain performs complex tasks. tinyurl.com/yj3ew8en
@stefanofusi.bsky.social
From a great collaboration with @lorenzoposani.com, @shuqiw.bsky.social, Samuel Muscinelli, Liam Paninski, now in Nature: www.nature.com/articles/s41...
Rarely categorical, highly separable representations along the cortical hierarchy - Nature
Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.
nature.com
To accommodate applicants and PIs attending Cosyne, we’ve extended the MCN application deadline to Sunday, Mar 22. Please repost.
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.
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
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
A fantastic new laboratory at UCSF! Strongly recommended!
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)
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
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)
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
The effects of task similarity during representation learning in brains and neural networks
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...
rdcu.be
Great collaboration with the Doeller lab, and hopefully the first of a long series
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.
“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...
This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding
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.
thetransmitter.org
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
Mixed selectivity: when neurons stopped looking like specialists
Nature Reviews Neuroscience - In this Journal Club, Fanny Cazettes highlights a 2013 paper that demonstrated the importance of mixed selectivity for cortical computations.
rdcu.be
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
The deadline for applying to the Methods in Computational Neuroscience summer course at MBL in Woods Hole has been extended to Monday, March 24! www.mbl.edu/education/ad...
Methods in Computational Neuroscience | Marine Biological Laboratory
MCN introduces students to the computational and mathematical techniques that are used to address how the brain solves problems at levels of neural organization ranging from single membrane channels t...
mbl.edu
We always see that 1) neural responses are very diverse 2) the shattering dimensionality is as high as it can be. Now also in an extensive analysis of the IBL dataset. Wonderful collaboration with @lorenzoposani.com, Shuqi Wang, Samuel Muscinelli, Liam Paninski. Many new analyses in this new version
Long-overdue thread on our latest work using the IBL data to reveal the shared organizational principles of the neural code in the cortex. A systematic analysis of categoricality 🧱 and dimensionality 📐 of the neural code across 40+ cortical regions. doi.org/10.1101/202... 👇 1/n
Specialized neurons are the exception, not the rule, in cortex. The brain is complex, go figure! www.thetransmitter.org/neural-codin... #neuroscience
Most neurons in mouse cortex defy functional categories
The majority of cells in the cerebral cortex are unspecialized, according to an unpublished analysis—and scientists need to take care in naming neurons, the researchers warn.
thetransmitter.org
The geometry of adaptation! My first excursion in the V1 territory. Great collaboration with @mariodipoppa.bsky.social @matteocarandini.bsky.social and many others
New results! Visual adaptation changes the geometry of V1 population activity: frequent stimuli elicit smaller responses but become more discriminable. Similar results are seen in ANNs trained with metabolic constraints, suggesting these changes emerge from efficient coding. bit.ly/3VJHXRn
A beautiful work with a wonderful team! A lot of new ideas and a huge number of elegant experiments
Excited to share our new paper out now @natureportfolio.bsky.social, where we identified neural signatures of stress susceptibility and resilience in the amygdala-ventral hippocampal network to enable control of anhedonia! <https://www.nature.com/articles/s41586-024-08241-y> Thread below: