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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 Adel Ardalan X-less Jacqueline Fulvio

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…

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 Francesco Randi Anuj K. Sharma & @DvaliSophie. nature.com/articles/s4158…

📣 If you are attending the Society for Neuroscience (SfN) meeting in DC, don’t miss our nanosymposium co-organized by Adel Ardalan 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

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

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 Nature Human Behaviour nature.com/articles/s4156…

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

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

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 Earl K. Miller, Diego Mendoza-Halliday, Alex James Major, Robert Desimone, and others 1/n

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 & Haoran Xu. doi.org/10.1016/j.neur…

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

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!

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 study by Jonas Braun Femke Hurtak Sibo Wang-Chen @wangchen.bsky.social revealing that brain descending neurons form interconnected networks to coordinate motor control is now out in nature nature.com/articles/s4158… EPFL EPFL Life Sciences EPFL Brain Mind Institute NeurosciencePhD_EPFL EPFL Institute of Bioengineering

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…

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%).

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…

Our work on individual differences in monkeys and RNNs is out on Nat Comms! nature.com/articles/s4146… A huge thanks to Aldo Battista Fabio Stefanini Satoshi Tsujimoto aldo genovesio and Stefano Fusi for the massive work! A brief recap 👇🧵

Yes, it's true. Monkeys predict US elections. Wharton Brain biorxiv.org/content/10.110…

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