O meu trabalho explicado num cartoon :) A conclusão final é que é exactamente a mesma... bit.ly/qFYWVI

Check out the basic principles behind engineering the brain with light - what scientists now call "Optogenetics"! ar.neuro.fchampalimaud.org/magazine/repor…

"Engineering the Mind" é já manhã!!! Às 21h na Champalimaud!! Joaquim Silva, Albino Oliveira-Maia, e Ed Boyden do MIT!! ar.neuro.fchampalimaud.org

You can now have a taste of our very first event even if you missed it! Just take a look at our report in Ar magazine! ar.neuro.fchampalimaud.org/magazine/event…

Check out the synopsis of our guest Deborah Gordon's talk! We hope you will be able to breathe with us by then! ar.neuro.fchampalimaud.org/event/emergenc…

Make your reservation of your own place in our "Emergence" event! Just send us a message through our contact form! ar.neuro.fchampalimaud.org/contact

Our next event will be "Creativity"! Check it out! More details will come soon, you just have to stay tuned! youtube.com/watch?v=4gCkdR…

#Dopamine signals shift gradually from time of reward to time of cue, similarly to the progression of temporal difference error in machine learning New from Mitsuko Watabe-Uchida, @naoshigeuchida, and colleagues nature.com/articles/s4159…

"How the brain got its wrinkles, and other stories" will be our next event, on March 17th! State your questions here! ar.neuro.fchampalimaud.org/event/brain-my…

Check out our new preprint: An opponent striatal circuit for distributional reinforcement learning, biorxiv.org/content/10.110…, by Adam Lowet, with Qiao Zheng, Melissa Meng, Sara Matias, myself, and @naoshigeuchida. 1/6

Super excited to use my first post to share my PhD research, recently uploaded to bioRxiv (doi.org/10.1101/2024.0…)! 🧵We found that the circuit formed between the striatum and dopamine neurons implements a powerful algorithm known as "distributional reinforcement learning". 1/n

Congratulations Adam!!

🎉 Thrilled to unveil our research co-led with Mark Burrell, now live on bioRxiv! 🧠 Dive into our latest discoveries in dopamine, animal contingency learning, and TD learning models: doi.org/10.1101/2024.0…. Excited to hear your thoughts! 1/n #Neuroscience #Research #bioRxiv

Reservations for the event have already sold out! Limited seats are available for people without reservations at 8 p.m of the event evening!

Postdoc Fellow Opportunity‼️ Looking for a PhD in freely moving ephys to apply for this amazing Postdoc Fellows program to do wireless triple neuropixel ephys in the Agouti in the rainforests of Panama! Lets figure out what the brain does in nature 🔔please RT!

rare opportunity to help establish a lab with an amazing PI 😍 can vouch for Jay all day—he’s brilliant, ingenious, and most importantly, kind ✨

How can we design human-interpretable AI models to explain why neurons behave as they do? Excited to share our recent work, a collaboration between three research groups from Harvard University. Sara Matias Hao Wu Simona Temereanca @naoshigeuchida MurthyLab at Harvard Paul Masset (Dem + 1) x Ba 1/21

Grateful for the opportunity to share our work at the Frontiers in NeuroAI Symposium Kempner Institute at Harvard University

The science we are losing …

Recruiting PhD/MSc students to join NeuBahar Lab University of Alberta & Amii! We study representation learning, generative models, interpretability, world models, inverse problems & NeuroAI. Our goal: intelligent systems that learn generalizable, mechanistically interpretable,