The geometry of biased decisions! A great collaboration with @rnogueiraneuro.bsky.social , Saleh Esteki and @roozbehkiani.bsky.social

A fantastic new laboratory at UCSF! Strongly recommended!

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

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...

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

Great collaboration with the Doeller lab, and hopefully the first of a long series

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.

“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

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

Brain Conference October 2023 This Brain Conference will reveal early insights into brain representations can be learnt from memories and even built directly from the language

Great meeting in Denmark: www.fens.org/news-activit...

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...

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...

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

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.

Specialized neurons are the exception, not the rule, in cortex. The brain is complex, go figure!
www.thetransmitter.org/neural-codin...
#neuroscience

The geometry of adaptation! My first excursion in the V1 territory. Great collaboration with @mariodipoppa.bsky.social @matteocarandini.bsky.social and many others

A beautiful work with a wonderful team! A lot of new ideas and a huge number of elegant experiments