@lrcaglar.bsky.social and I will be showing new results demonstrating geometric reshaping of populations responses in order to support task computations happens as early as V1 @batuhanerkat.bsky.social @polacklab.bsky.social #Cosyne2026
Julien Corbo
@juliencorbo.bsky.social
Neuroscience Research Associate @Polack lab, Rutgers university. Sensory processing, cortex, perception He/him
Fun paper at @iclr-conf.bsky.social on delicate V1 biases through contextual priors. Inspiring collab w @polacklab.bsky.social, spearheaded by Keith Murray & Balazs Meszena, @juliencorbo.bsky.social. Kudos to conf ACs&PCs for pulling of 19k reviews under openrev turmoil arxiv.org/abs/2602.11956 1/2
TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
The brain interprets visual information through learned regularities, a computation formalized as probabilistic inference under a prior. The visual cortex establishes priors for this inference, some d...
arxiv.org
"the extremely strong desire is to just punish universities [..] It’s not based on any kind of coherent policy agenda. It’s just a desire to inflict pain." This, is critical to understand. Pointing out "it's hurting us" won't do, since it's the whole point. www.nytimes.com/2025/02/14/o...
Opinion | Trump Wants to Destroy All Academia, Not Just the Woke Parts (Gift Article)
The administration’s war on universities defies rational self-interest.
nytimes.com
OK folks, I have now created a google form that allows people to sign to show their support for my open letter to the President of the Royal Society. Please sign and share widely: forms.gle/miDciq35oxyw...
Open letter to the President of the Royal Society – time to stand up for your values
If you wish to show your support for the letter below regarding apparent inaction by the Royal Society in the face of breaches of its code of conduct by Elon Musk FRS, please sign below. I invite anyo...
forms.gle
An open letter to the President of the @royalsociety.org – time to stand up for your values. occamstypewriter.org/scurry/2025/...
Wikipedia is one of the last major bastions of verified information. Which, of course, is why the oligarchs want to destroy it. You can donate to them here. donate.wikimedia.org/w/index.php?...
Make your donation now - Wikimedia Foundation
Donate to the Wikimedia Foundation, the nonprofit that hosts Wikipedia and other crucial free knowledge projects. Each year, the generosity of the 2% of readers who donate allows us to expand the reac...
donate.wikimedia.org
having succeeded in purchasing positions of influence inside the White House, the billionaires and tech VCs have now set their sights back on Wikipedia
Congratulations to @juliencorbo.bsky.social and all the co-authors for this amazing study! 🎉🏅🤯. Don’t miss Julien’s thread 🧵 👇🏻 that summarizes very well the main points of the paper.
New paper out! 🚨 📰 With @batuhanerkat.bsky.social, John McClure, @hussainyk1.bsky.social, @polacklab.bsky.social we reveal how discretized representations in V1 predict suboptimal orientation discrimination. 🧪🧠🐭 This work reconciles neuro and psychometric curves www.nature.com/articles/s41...
Discretized representations in V1 predict suboptimal orientation discrimination - Nature Communications
How animals generate perceptual decisions remains poorly understood. Here, the authors show that during a discrimination task, the mouse visual cortex does not encode the orientations of the cues but ...
nature.com
The wonders of population coding! Recent paper by @juliencorbo.bsky.social et al. @polacklab.bsky.social -> visual cortex in trained mice encodes orientation differently from in naive mice... almost more "messily"(?)... but behavior is good. #neuroskyence #matlab 🧪 🧠 doi.org/10.1038/s414...
Discretized representations in V1 predict suboptimal orientation discrimination - Nature Communications
How animals generate perceptual decisions remains poorly understood. Here, the authors show that during a discrimination task, the mouse visual cortex does not encode the orientations of the cues but ...
doi.org