PhD Candidate in the Mack Lab at the University of Toronto 🇨🇦 🧠 🐦 🐱
Research: category learning, computational modelling, fMRI
Hobbies: learning animal facts, coding, digital art, sculpting
Yongzhen Xie
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🧠 The MackLab (@drmack.bsky.social) will be presenting at #CNS2026! Stop by our posters to chat about learning, insight, and hippocampus!
Yongzhen Xie
Come see our posters #CNS2026. All three are on session D Monday morning. Fantastic works from Xuan Zhang with @brianlevine.bsky.social, Dr. Erik Wing with @drjenryan.bsky.social and Dr. Lei Zhang with Dr. Claude Alain.
Episodic memory encoding fluctuates at a theta rhythm of 3–10 Hz
Our lab will be presenting at the Cognitive Neuroscience Society Conference this year #CNS2026!
Learn more from our graduate students in their sessions! @catalinayang.bsky.social and @matthewdougherty.bsky.social
Super excited to present my new research at CNS next week! Ever wondered why memory is so inconsistent? This project explores how shifts in attention heavily contribute to this inconsistency 👀 Come see me at Data Blitz Session 1 (Talk 5, Saturday @ 10:30am) and Poster Session D (#53, Monday 8-10am)!
Asaf Gilboa
Stop by Poster E73 tomorrow to learn about:
🧠 an LLM pipeline for automated recall scoring, and
📖 how we (@atabk.bsky.social @nicholebouffard.bsky.social @zreagh.bsky.social) use it to understand whether compressed memories can be unfolded to recover details
#CNS2026
🚨 New Preprint 🚨 I’m excited to share the first paper from my postdoc. We found age differences in the timescales of neural activity in the hippocampus during movie viewing 👀 These timescales were related to memory specificity in an interesting way (spoiler: the hippocampus may not be special!?)
Excited to share our new preprint: "Do Machines Fail Like Humans? A Human-Centered Out-of-Distribution Spectrum for Mapping Error Alignment" led by
@binxia.bsky.social w @ken-lxl.bsky.social & co-senior author Luke Dickens (UCL)
🤖🧵👇
Link: arxiv.org/abs/2603.07462
🧠📈#PsychSciSky #compneuro #mlsky /1
Our brains cling to stability: when scenes slowly change, people still see the original for longer than expected. This AI-image study shows that perception lags behind reality -our minds favor continuity over constant reprocessing.
doi.org/10.1037/xhp0...
@uoftpsychology.bsky.social
Interested in a Postdoc on how brains/ANNs learn and represent visual/semantic concepts in Osaka, Japan?
Check out the JSPS Postdoctoral Fellowships (up to 2 yr). I'd be happy to host postdocs to come work in my lab at CiNet, Osaka!
Info🧵👇
Please repost!
#neuroskyence #psychscisky #mlsky 🧠💻 /1
Nature Human Behaviour, Published online: 02 March 2026; doi:10.1038/s41562-026-02416-5Biba et al. show that episodic memory encoding fluctuates at a theta rhythm of 3–10 Hz.
Determining whether AI systems process information similarly to humans is central to cognitive science and trustworthy AI. While modern AI models can match human accuracy on standard tasks, such parit...
