Naoki Hiratani
nhiratani.bsky.social
Naoki Hiratani
@nhiratani.bsky.social
Computational neuroscientist at WashU
https://www.hiratanilab.org/
New preprint on ventral striatum astrocytes and their role in reinforcement learning. Great work by an amazing team!
How do non-neuronal CNS cells called astrocytes contribute to cognition & computation?

See our preprint

Headed by my students Julia Pai and Fatih Sogukpinar, also working with Hiratani, Pignatelli, Papouin, Frank, and Ching labs. This was a huge effort

www.biorxiv.org/content/10.1...
Ventral striatal astrocytes contribute to reinforcement learning
Astrocytes influence synaptic plasticity and neuronal function through astrocytic calcium dynamics (ACD). However, astrocytes contribution to cognitive operations like reinforcement learning (RL) rema...
www.biorxiv.org
October 21, 2025 at 2:04 AM
Application deadline for postdoctoral fellowships at the Center for Theoretical and Computational Neuroscience (CTCN) at WashU is approaching!
Feel free to reach out for informal inquiries!
ctcn.wustl.edu/postdoc-fell...
Postdoc Fellows
The CTCN funds a cohort of outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs and help forge new collaborations. Application deadline August 1st, 20…
ctcn.wustl.edu
July 24, 2025 at 8:14 PM
New preprint!
We found intriguing inter-animal variability in decision-making behavior in the International Brain Laboratory experiment, and uncovered its neural correlates. Work by Chang Yin and me, with big thanks to @intlbrainlab.bsky.social for the help.
www.biorxiv.org/content/10.1...
Cortical neural landscape captures mouse‑to‑mouse variability in anticipatory vs. inattentive decision making
Understanding individual variability in behavior is crucial for both basic and clinical neuroscience, yet it remains challenging to study in traditional single laboratory experiments with small sample...
www.biorxiv.org
July 17, 2025 at 4:14 PM
I’ll be presenting a paper by Ziyan Li (and myself) on “Optimal Task Order for Continual Learning of Multiple Tasks” this afternoon at #ICML (W-811). Feel free to stop by!
openreview.net/pdf?id=145So...
openreview.net
July 15, 2025 at 3:28 PM
New preprint! Ziyan and I explore how task order impacts continual learning in neural networks and how to optimize it. Our analysis highlights two key principles for better task sequencing.
Check it out: arxiv.org/pdf/2502.03350
arxiv.org
February 6, 2025 at 11:14 PM
I’m presenting my work on how task similarity impacts continual learning and interacts with algorithms to mitigate forgetting today at #NeurIPS2024
openreview.net/pdf?id=bE7GW...
openreview.net
December 12, 2024 at 5:33 PM