Camilo Libedinsky @LibedinskyLab
Assistant Prof. @ National University of Singapore. Neuroscientist interested in neural coding and cognition. libedinskylab.com Singapore Joined May 2017-
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The vocabulary of systems neuroscience may appear daunting to many. Here's a short dictionary of common terms. BTW if you use them in your papers and grants you will have greater success
Yes, it's true. Monkeys predict US elections. @whartonbrain biorxiv.org/content/10.110…
Our work on individual differences in monkeys and RNNs is out on Nat Comms! nature.com/articles/s4146… A huge thanks to @aldo_battista @faffofratello Satoshi Tsujimoto @AldoGenovesio and @StefanoFusi2 for the massive work! A brief recap 👇🧵
Dear friends and colleagues -- My lab has a postdoc opening for an exciting new project. We are looking for someone with top software engineering skills. I'd appreciate it if you could RT and distribute widely. Jib posting below: dropbox.com/scl/fi/r9m2544…
Latest from our lab (with Evangelos Sigalas). We developed a method to estimate connectivity features of brain regions using noise correlation and RNN models. We found that LPFC area 9/46 had a lower proportion of bump attractor architecture compared to the FEF (~7.5% vs ~20%).
Latest from our lab (with Evangelos Sigalas). We developed a method to estimate connectivity features of brain regions using noise correlation and RNN models. We found that LPFC area 9/46 had a lower proportion of bump attractor architecture compared to the FEF (~7.5% vs ~20%).
1/ A century ago, Tolman showed that meaningful learning can occur even without apparent performance improvements. What is the neural basis of this distinction between learning something vs learning to perform? We tackle this in a new manuscript 🔥 🐭🔬📰 biorxiv.org/cgi/content/sh…
Our study by @jonasfbraun @femke_hurtak @wangchensibo revealing that brain descending neurons form interconnected networks to coordinate motor control is now out in @Nature nature.com/articles/s4158… @EPFL_en @epflSV @Brainmind_EPFL @EDNE_EPFL @EPFL_BioE
Our grain of salt to contribute to this story. TLDR: in a delay saccade task, populations of selective LPFC neurons show coordinated periods of silence (>100 ms) that are not expected by chance. Caveat: these are very rare (~1 second every 30 mins of memory maintenance)
Our grain of salt to contribute to this story. TLDR: in a delay saccade task, populations of selective LPFC neurons show coordinated periods of silence (>100 ms) that are not expected by chance. Caveat: these are very rare (~1 second every 30 mins of memory maintenance)
Our Lab is hiring! 1 POSTDOC & 2 RESEARCH TECHNICIAN positions available. We use high-count multi-area neuronal recordings & optogenetics to investigate how neurons generate & manipulate mental representations. Check the JOIN US section @ mendoza-halliday-lab.com. Spread the word!
Nativism strikes back: newborn chicks still show object permanence even if you rear them in bizarre virtual reality worlds where objects are never occluded and can teleport around. arxiv.org/abs/2402.14641
New paper out in Neuron! Using electrophysiology and optogenetics, we show that the neuronal substrates of feature attention & working memory are dissociable in the primate brain. Work with Bob Desimone & @nilxu. doi.org/10.1016/j.neur…
New paper "A ubiquitous spectrolaminar motif of local field potential power across the primate cortex" published today at Nature Neuroscience! nature.com/articles/s4159… A collaborative effort with @MillerLabMIT, @MendozaHalliday, @alexjamesmajor, Robert Desimone, and others 1/n
Our latest, showing how humans and recurrent neural nets can learn statistical information unfolding at multiple timescales rapidly and concurrently!
Our latest, showing how humans and recurrent neural nets can learn statistical information unfolding at multiple timescales rapidly and concurrently!
I have also followed this situation with appalled fascination. As children, we are taught simple commands, “Do not lie.” “Do no steal.” “Do not cheat.” But then we grow up and learn about the real world. And it turns out that in order not to lie, sometimes you have to lie. This…
New paper with @BernhardSpitzer , investigating WM through miniature eye movements. We found that, even during attempted fixation, gaze patterns not only reflect memory content but also capture its dynamic evolution over time. Available on @NatureHumBehav nature.com/articles/s4156…
I am beyond excited to share a new paper “Rapid, concerted switching of the neural code in inferotemporal cortex,” led by @Yuelin_Shi and Dasheng Bi. We describe a new form of neural computation in which single neurons rapidly change their tuning to temporally multiplex different…
📣 If you are attending the @SfNtweets meeting in DC, don’t miss our nanosymposium co-organized by @adelardalan and myself on "geometry of task representations in biological and artificial neural networks" 🧠+📐 ⏰November 15, 2023, 1:00 PM - 3:30 PM, Room WCC 146C
Our signal propagation atlas of C. elegans is now out in @Nature! We measure the network’s response to optogenetic stimulation of each neuron in the head, one at a time-- over 23,000 neuron pairs. Congrats to @francescorandi @aksharma_118 & @DvaliSophie. nature.com/articles/s4158…
Happy to let the world know that we just published a new paper! Please take a look if you are interested in context-dependent decision making, across-area interactions and low-rank RNN 👇 nature.com/articles/s4146…
Representing context and priority in working memory biorxiv.org/content/10.110… RNNs represent 1st-order context (that individuates an item) and higher-order cntxt (that can change unpredictably ) via distinct mechanisms. X-less Quan Wan @adelardalan X-less Jacqueline Fulvio
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