
Toshitake Asabuki
@tasabuki
RIKEN ECL Unit Leader @RIKEN_CBS, @RIKEN_CPR
ID: 1767553035625005056
https://sites.google.com/view/toshitake-asabuki 12-03-2024 14:07:53
28 Tweet
91 Followers
102 Following


Our long awaited feature-specific RPE (previously known as the vector RPE) paper is finally out! 🎇🎇🎇 nature.com/articles/s4159… Huge thanks to co-authors Yotam Sagiv , Ben Engelhard, @IlanaWitten, Nathaniel Daw

📢 Job alert 📢 We are recruiting a PhD student! 💻 Apply and join my lab at Kavli Neuroscience 🧠 Deadline: August 25 Apply here: jobbnorge.no/en/available-j…

Reusable dynamical motifs in artificial neural networks enable flexible recombination of previously learned capabilities, promoting modular, compositional computation and rapid transfer learning Laura Driscoll Krishna Shenoy David Sussillo nature.com/articles/s4159…

Excited to share our recent work "Flexible gating between subspaces in a neural network model of internally guided task switching", just out on Nature Communications! 🧵👇


PI Recruitment 2024 RIKEN Center for Brain Science is a unique place to enjoy state-of-the-art facilities and collaborate with top researchers across natural sciences. Become part of a thriving, interdisciplinary community! cbs.riken.jp/en/careers/202… Hear from CBS faculty and join us at RIKEN CBS⬇️

The ClopathLab has a fully funded PhD position open for Oct in Computational Neuroscience at Imperial College London. If you are interested, just send us an informal e-mail!

Now in eLife - the journal “Biologically plausible excitatory/inhibitory plasticity rules in recurrent spiking networks embed state-transition statistics into spontaneous activity.” doi.org/10.7554/eLife.… ClopathLab


Another paper on embedding stimulus statistics just got published eLife - the journal! "Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences" doi.org/10.7554/eLife.…

New preprint! Why are long-range connectomic interactions in the cortex dominant in shaping dynamics in some experiments but apparently negligible in others? We (w/ Rishi M, Eli Muller) address this by studying a new hybrid model of cortical dynamics. arxiv.org/abs/2506.19800


🚀Out in PNAS! We find that recurrent networks trained with the predictive plasticity rules explain many features of prediction errors observed in experimental studies pnas.org/doi/10.1073/pn… ClopathLab


📜Out in Nat. Commun! We propose a novel framework called “predictive alignment”, which trains the chaotic RNN via a biologically plausible rule. Collaborated with ClopathLab nature.com/articles/s4146…
