🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🚨 Preprint alert🚨 If you're interested in how changes in the network structure alter the state of dynamics in a recurrent network (without modifying other parameters) check out our new preprint w/ Victor Buendía (co-first), Tatiana Engel and Anna Levina. arxiv.org/abs/2211.06296

Are 'firing rates' and 'latent factors' simply the product of analysis & statistical modeling? Or are factors and rates well-defined mechanistically and central to understanding computation in recurrent spiking networks? @briandepasquale was curious. cell.com/neuron/fulltex…

Super excited to share our new work showing that recurrent feedback from hippocampal replays to PFC can implement a form of planning that matches human behavior in a sequential decision making task! biorxiv.org/content/10.110… w/ Guillaume Hennequin & Marcelo Mattar

Here’s a short #tweetprint about our latest work just published in Current Biology! This is part of a fun collaboration with Yuxiu Shao, neuroduque, Robert Yang, srdjan ostojic and @jrochav You can download the paper here: authors.elsevier.com/a/1gRl-3QW8R%7…

If you're at #cosyne2023 and are interested in motor control, learning, BCIs, RNNs and cool stuff in general, please stop by Jo's poster tonight! Signed: Someone in FOMO mode

And #2: If you're at #cosyne2023 and are into motor control (esp. preparation), multi-region recordings, and models and cool stuff in general, stop by Bence's poster tonight! Signed: Someone in FOMO mode

How do we use predictions of future sensory input to prepare for movement? Come by tonight to chat at my poster (III-008), where we approach this question from different perspectives using human, monkey, and simulation experiments. #cosyne2023

Very excited to share the final line-up and program of our upcoming conference on the Philosophy of Deep Learning! Co-organized with David Chalmers & Ned Block and co-sponsored by Center for Science and Society's PSSN & 🧠 NYU Consciousness 🧠. Info, registration & full program: phildeeplearning.github.io

Preprint 🚨 Intriguing results outlining how gradient-based learning can be compatible with experimental neural perturbations during brain-computer interface learning. Setting up the stage for exciting future steps… Amy Orsborn, PhD 👩‍🔬🐵 and A Payeur

#cosyne23 highlight: Tim Lillicrap on BCI learning as gradient descent. I love this work: it elucidates, but it's also quite practical, as BCIs come online and we try to optimize them. Nice shout- outs to Amy Orsborn, PhD 👩‍🔬🐵 and Guillaume Lajoie 's work youtube.com/live/9pN9mZF-E…

This is insane. Basically Germany has now said that postdoc contracts cannot last longer than three years, and after that, they have to be offered permanent positions (of which no one proposed how to generate). Even my own position now would seemingly be illegal. 🤦🏻‍♀️🙈

MedMNIST (medmnist.com), the collection of 18 MNIST-like datasets for 2D and 3D biomedical image classification, has reached 100,000 downloads! Grateful for the recognition of our dataset in advancing research in this area. #MedMNIST #MachineLearning #AIforHealthcare

Join us in a fantastic working environment with lots of flexibility and great collaborators! I'm also happy to answer any questions.

Football players can tackle, get up, kick and chase a ball in one seamless motion. How could robots master these motor skills? ⚽ We trained AI agents to demonstrate these agile behaviours using end-to-end reinforcement learning. Find out more: dpmd.ai/41N3CsM

🚨Tweetprint time! 🚨 We studied how de novo motor learning alters the underlying neural activity & affects motor adaptation using RNNs 📜 t.ly/vSLo Special thanks to coauthors Matt Perich Kathleen Cullen Juan Álvaro Gallego ClopathLab Pls read 🧵 + RT! 1/n

What could science at digital speed look like? 🚀 AI is poised to supercharge scientific discovery as we know it, by: 🔮 Exploring theories 🧪 Designing experiments 🔍 Analysing data Find out how in nature. ⬇️ dpmd.ai/43WuarQ

Interested in the intersection between neuroscience and AI? Come to our workshop! We have a great program, which is getting better by the day, and Montréal is a great city with vibrant neuro and AI communities.

At #BernsteinConference2023 & interested in motor control? Visit poster III C06 (Thu, 12:30). Sunny Duan FieteGroup & I show a model that instantiates hypotheses about how different learning mechanisms in M1, cerebellum & integrative cortex help tackle challenging control tasks

Finally out!!! 🎆🥳 Thrilled to share our paper now nature Amazing collab w/ co-first author Joanna Chang & Junchol Park Kathleen Cullen Dud{man,Lab}🇺🇦 Matt Perich Juan Álvaro Gallego at Imperial College London Bioengineering See this #tweetprint for updated summary nature.com/articles/s4158… 1/n

The #aignostics team is heading to #ASCO2024! Interested in hearing about how we’re transforming precision medicine with our industry-leading foundation model and advanced machine learning algorithms? Let’s connect on June 2-3: lnkd.in/e7eTNxEw #ASCO24 #PrecisionMedicine