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"Robustness of Working Memory to Prefrontal Cortex Microstimulation" So happy to see this work out as part of the JNeuro Special Collection "Computational Properties of Prefrontal Cortex"

We had a great kick-off site visit with our NHP teams at the University of Pittsburgh, Carnegie Mellon University, and John Hopkins University! Thank you all so much for hosting us!

🎉There's a new doctor in the world!🎉 A warm congratulations to @dixitsheron, PhD. I'm proud of you! You’ve come so far, and we’re excited to see how far you’ll go. Thanks to @SmithLabNeuro for serving as outside examiner, and to Denis Pare for serving as chair.

I'm excited to share our #NeurIPS2024 paper with @jsoldadomagrane @SmithLabNeuro @YuLikeNeuro! We develop a new brain stimulation framework (MiSO) to drive neural population activity toward specified states. Paper: https://t.co/1VHPSHDu8d Poster Session 4 East, Dec 12 16:30 [1/n]

Neurorobotics! @cmuneurosci ! Apply!

We are excited to share our new method, SNOPS (Spiking Network Optimization using Population Statistics), published in @NatComputSci. It was led by @Shenghao_W, with @cc_huang11, Adam Snyder, @SmithLabNeuro, and @BrentDoiron. https://t.co/Wnn7Ufp3k0 (1/n)

Come join us @cmuneurosci ! We're recruiting a new Assistant Professor in the Neuroscience Institute:

SaveTheDates: SimCo 2024 Sept5-7th in Pittsburgh Keynotes @eabuffalo @JulioMTNeuro &SabineKastner and many more speakers, YIA and posters .... updates to be posted on https://t.co/6RMADoYFqT @MIcheleABasso1 @aaronbatista @Macacophile

🚨Awesome news alert🚨 Our Computational Neuroscience & Machine Learning Course is back!! When: 8-24th July 2024 Where: CMU-Africa campus, Kigali, Rwanda Applications open: 15th January 2024 Applications close: 15th February 2024 For news on the course follow @trend_camina

New @tweeprint! Compact deep neural network models of visual cortex B. Cowley, P. Stan, J. Pillow*, M. Smith* https://t.co/2chGOnzowR Task-driven DNN models nicely predict neural responses but have millions of params---next to impossible to explain. Do they need to be so large?

Joint work with myself, Pati Stan (twitterless), @jpillowtime @SmithLabNeuro Cold Spring Harbor Laboratory @CSHL Carnegie Mellon University @cmuneurosci Princeton University @PrincetonNeuro biorxiv paper: https://t.co/2chGOnzowR

Now that we @UChicago_Brains just hired 2 faculty in Computational Neuroscience we are addicted to it. We will be hiring 2 more faculty this round in Comp Neuro - one in the Department of Neurobiology and one in the Department of Physics. Please apply!

We are hiring for two positions in @cmupsych, one joint with @cmuneurosci - Please apply and come join us in Pittsburgh!

We’ve posted a new paper on an automatic method to fit large-scale spiking network models to neuronal population recordings: https://t.co/j632kgXPfN

Join Our Team! @cmu_bme invites applications for full-time tenure-track faculty positions. To apply: https://t.co/cfwMVOdvwm

Welcome to Assistant Prof @BenjoCowley! His lab will study how the brain processes information gathered by the senses, creating computer models to capture the step-by-step calculations across neural circuits.

Update of potential interest: I'll be starting a comp neuro group at Cold Spring Harbor Laboratory @CSHL in Sept 2022! Our group will build closed-loop machine learning techniques and interpretable, data-driven models to understand the step-by-step computations of the brain.

@cmuneurosci and CMU Psychology are undertaking a joint tenure-track search (assistant or associate level). Spread the word!

Do the models we use in comp. neuro. really have to be that large? For V4 neurons, we found compact DNN models that are highly-predictive yet 1000x smaller than current DNN models. #cosyne2022 poster II-116 tonight (Fri)! joint work with Pati Stan, @SmithLabNeuro @jpillowtime