Camilo Libedinsky

Assistant Prof. @ National University of Singapore. Neuroscientist interested in neural coding and cognition.

[Camilo Libedinsky @LibedinskyLab]

Happy to summarize this work with talented postdoc Roger Herikstad! When you initiate a movement after a sensory go cue, the time between the sensory signal and the movement onset is variable. This reaction time (RT) variability is observed even for well-practiced movements.(1/8)

[bioRxiv Neuroscience @biorxiv_neursci]

Prefrontal Manifold Geometry Explains Reaction Time Variability https://t.co/AnVak74sGa #biorxiv_neursci

[Yin lab @HenryYin19]

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

[Michael Platt @MichaelLouisPl1]

Yes, it's true. Monkeys predict US elections. @whartonbrain https://t.co/HI6kNlhqwh

[Valeria Fascianelli @VFascianelli]

Our work on individual differences in monkeys and RNNs is out on Nat Comms!
https://t.co/Avs4ewG8Yx
A huge thanks to @aldo_battista @faffofratello Satoshi Tsujimoto @AldoGenovesio and @StefanoFusi2 for the massive work!
A brief recap 👇🧵

[Camilo Libedinsky @LibedinskyLab]

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%).

[bioRxiv Neuroscience @biorxiv_neursci]

Mixed recurrent connectivity architecture in primate prefrontal cortex https://t.co/Adl6xzy3Q7 #biorxiv_neursci

[Kishore Kuchibhotla @kishoreneuro]

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 🔥 🐭🔬📰

https://t.co/DXQHjNRSpR

[Pavan Ramdya @ramdya]

Our study by @jonasfbraun @femke_hurtak @wangchensibo revealing that brain descending neurons form interconnected networks to coordinate motor control is now out in @Nature

https://t.co/JjqBX30XKd

@EPFL_en @epflSV @Brainmind_EPFL @EDNE_EPFL @EPFL_BioE

[Camilo Libedinsky @LibedinskyLab]

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)

[bioRxiv Neuroscience @biorxiv_neursci]

Evidence of Activity-Silent Working Memory in Prefrontal Cortex https://t.co/GuUGxMFL5C #biorxiv_neursci

[Diego Mendoza-Halliday @MendozaHalliday]

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 @ https://t.co/FvnuvMp2hf. Spread the word!

[Camilo Libedinsky @LibedinskyLab]

@jmourabarbosa Congrats Joao! Well deserved!

[JohnMark Taylor @johnmark_taylor]

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.

https://t.co/StNi4pH9De

[Camilo Libedinsky @LibedinskyLab]

@thaliafung External input or noise could do the trick

[Camilo Libedinsky @LibedinskyLab]

I hope some of you find this interesting "Comparing representations and computations in single neurons versus neural networks" @TrendsCognSci https://t.co/2QJy2zmKER

[Diego Mendoza-Halliday @MendozaHalliday]

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.
https://t.co/PmDvg9DvZp

[André M. Bastos @BastosLabNeuro]

New paper "A ubiquitous spectrolaminar motif of local field potential power across the primate cortex" published today at Nature Neuroscience!
https://t.co/PdjeVmLRwE
A collaborative effort with @MillerLabMIT, @MendozaHalliday, @alexjamesmajor, Robert Desimone, and others 1/n

[Dr. Anna Schapiro @AnnaSchapiro]

Our latest, showing how humans and recurrent neural nets can learn statistical information unfolding at multiple timescales rapidly and concurrently!

[Doris Tsao @doristsao]

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 essential contradiction is something that has always bothered me, and it’s why I find it so thrilling to read biographies and learn how Lincoln deftly played politics to ultimately achieve goals that an outward absolutist like Sumner never could, how Beethoven shamelessly lied to his publishers about works he had already sold to others to gain the material support he needed to create his immortal art. Achieving Veritas in any realm is so tortuously difficult and must involve many compromises. Yet, it remains the only thing worth fighting for. In this particular situation, it seems obvious to me where things stand. It is not tenable for the leader of an institution whose central mission is to teach young people to seek Veritas, to have committed these acts and not show any contrition, nor for the board to defend and minimize these acts. This is putting politics before Veritas, not in service of it.

https://t.co/PPelGdczzj

[Juan Linde-Domingo @lindedomingo]

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 https://t.co/US8tAaKRTd

[Doris Tsao @doristsao]

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 functions. In < 20 ms, cells switch from a code optimized for face detection to a code optimized for face discrimination. I think this discovery fundamentally changes our current concept of neural representation. (1/N)
https://t.co/4UGciuD2cV

[Sina Tafazoli @tafazolisina]

📣 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

[Andrew Leifer (@[email protected]) @AndrewLeifer]

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 &amp; @DvaliSophie. https://t.co/DshzdEXz4P

[God bless @God_blessMerika]

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 👇

https://t.co/LMSGWZRafF