Ryoma Hattori (@ryhattori) header
Ryoma Hattori (@ryhattori) profile picture

Assistant Professor @UFScripps. Neuroscience / Decision making / Reinforcement Learning / Machine learning

Joined April 2020
Photo by Ryoma Hattori (@ryhattori)Photo by Ryoma Hattori (@ryhattori)Photo by Ryoma Hattori (@ryhattori)
Neural activity and synaptic plasticity in mouse orbitofrontal cortex (#OFC) mediates multiple timescales of reinforcement learning (RL) for meta-RL, which parallels a form of meta-RL in artificial intelligence nature.com/articles/s41593-0…
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Lab website is out! Recruiting lab members. Positions are open until filled. hattori.scripps.ufl.edu/join…
A bit late announcement on twitter: I will move to 🏝️Florida🐊 next month to open my lab as an assistant professor @UFScripps My lab will study decision making, RL, number sense, autism using VR tasks for mice. I am recruiting postdoc/student/tech!!! Email or DM me if interested.
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A bit late announcement on twitter: I will move to 🏝️Florida🐊 next month to open my lab as an assistant professor @UFScripps My lab will study decision making, RL, number sense, autism using VR tasks for mice. I am recruiting postdoc/student/tech!!! Email or DM me if interested.
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Friends, we need your help. An Wu, a postdoc from UCSD is missing post-Cosyne. We're trying to locate her. We're worried she may have been staying at a building that had a bad fire this week. If you have any information about where An was staying or last seen please contact me.
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I am honored to have been selected for the SFARI Bridge to Independence Award! Looking forward to investigating the reinforcement learning in autism.
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Our protocol for an ultra-large cranial window and longitudinal 2-photon calcium imaging is out @STARProtocols! I hope this protocol will be useful to many. Get more data with larger craniotomy. star-protocols.cell.com/prot…
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We used this surgery for our previous papers, Hattori et al. Cell (2019) and Hattori & Komiyama Neuron (2022).
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Ryoma Hattori retweeted
My Preview of @takaki_komiyama lab's recent Neuron article is now live! An interesting look at the population dynamics underlying a persistent value representation: authors.elsevier.com/a/1eWj5…
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Our new paper on the cortex-wide activity dynamics and the distributed value coding during reinforcement learning is out in Neuron! 2p imaging from 6 areas (RSC, PPC, M2, ALM, V1, S1) in 2 different tasks + 2 types of RNNs with recurrent activity-based RL + new method (dsPCA).
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dsPCA identifies targeted axes in supervised way, then identifies PC axes of the remaining activity variance in unsupervised way. Thus, you can obtain the coding axes of your targeted signals and the dominant non-targeted axes of the remaining population activity variance.
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I also thank the reviewers for their constructive and helpful feedbacks which improved the paper a lot during the revisions. If the paper is of interest to you, please also check our related Cell paper from 2 years ago: cell.com/cell/fulltext/S0092… A part of data came from this one.
Published today in @NeuroCellPress: A new study shows how the brain records value choices. Researchers found that persistency allows value signals to be “coded” across the brain, especially in a critical area known as the retrosplenial cortex. Details: go.ucsd.edu/3nKE8L0
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