🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

did I plan my lab meeting slot around Halloween? no. but did i wear my HMM costume b/c i was presenting HMM data? hell yes! p.s. if you want to know more about the HMM "flavors" you see previewed here check out my #SfN2022 poster on Sat Nov 12th from 1-5pm (poster # 080.09)

Peer review can serve a constructive, formative function when done well — but the peer review system as it is can produce biased and unfair outcomes. How can we improve it? Excited to share a review & opinion piece we have been working on Reviewer Zero 👇🏽

I’m very proud to share: A smartphone intervention that enhances real-world memory and promotes differentiation of hippocampal activity in older adults. Work led by @_chris__martin_, w/ Christopher Honey Bryan Hong @rachelnewsome Dr. Melissa Meade (1/6) pnas.org/doi/10.1073/pn…

🚨SIGN-ON: NSF is refusing to move forward with collecting LGBTQ+ data on its national STEM workforce surveys to ensure the equity of LGBTQ+ scientists. It has made its final decision. Please sign this open letter to the NSF Director and share widely! docs.google.com/document/d/1qW…

New preprint w/ Kevin Ochsner: Matt Sachs Matt worked with film score composers to create emotional music, and found brain regions that: -track emotional dynamics -represent emotional information -are sensitive to the recent emotional context! biorxiv.org/content/10.110…

Mariam Aly Mariam Aly and I are looking for a full-time RA to work on a newly-funded joint NIH grant! If you have (or will soon have) a Bachelor's in psych, neuro, or a related field and are interested in cog neuro research on memory / prediction, see: tinyurl.com/alyssano

Super neat that our paper was named a 2022 Cozzarelli Prize finalist for behavioral and social sciences. So thankful to the team that made it happen: Lena Skalaban, Angie Bracher, @CameronTEllis, Chris Baldassano, and Nick Turk-Browne!

My first-ish foray into episodic memory, thanks to Jiawen Huang Chris Baldassano and Isabel Velarde Columbia DPM Lab. We study the effect of learning a game-play schema not on the recall of static board positions, but of game-relevant move sequences. elifesciences.org/articles/82599

The final version of this work is now published at eLife! The Editor's evaluation gives a great summary of why we are so excited about this new kind of paradigm for studying sequential memory elifesciences.org/articles/82599

All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-profit journal imaging-neuroscience.org This comes with great regret, and a huge amount of thought and discussion- please read announcement to get more details.

I'm so excited to share this work with Mariam Aly and Chris Baldassano! We explore how memory for temporal structure changes with consolidation to support multistep anticipation. Make sure to read to the end for some fun RT modeling! ✨️ psyarxiv.com/x2f7s

📢📷 We are excited to welcome Chris Baldassano for our next CCP Speaker Series talk! Join us on Friday (May 19) at 1pm EDT. Register here: forms.gle/6iLyteRbHBaPEF…

When two people act similarly we call them “in-sync” — could this figure of speech be literally true? Do more similar individuals show greater neural synchrony? Check out our answer: bit.ly/3CQnVed Monica Rosenberg @AnnaCorriveau Hayoung Song YoungHye Judy Kwon Kwangsun (Ray) Yoo

"Behind the paper" is a great series by Nature Portfolio. Here, I'm I trying to tell the honest story of the lab's recent paper on planning (with basvanopheusden, Ionatan Kuperwajs, Gianni Galbiati, Zahy Bnaya, and Yunqi Li). neurosciencecommunity.nature.com/posts/looking-…

Interested in memory and prediction? Want training for a career in science? Chris Baldassano and I are recruiting a jointly supervised research assistant to work on NIH-funded projects examining anticipatory signals in the brain! See ad for details: tinyurl.com/alyssano

Hannah's biggest paper from her PhD is preprinted! She created a new paradigm for learning complex sequences of locations (using VR), and then showed that cuing a location activated brain representations of nearby locations, with different temporal scales in different regions!

One of the lab's original Day 1 "dream" projects is now out as a preprint! Using a custom set of stories with fMRI, we showed that top-down attention can shift mPFC event boundaries to align with different kinds of narrative boundaries biorxiv.org/content/10.110…

I'm delighted to see this joint work with Matt Siegelman, Nikolaus Kriegeskorte, and Chris Baldassano, "Testing the limits of natural language models for predicting human language judgments", in its final form in Nature Machine Intelligence! Here's a full-text link: rdcu.be/dl91g

New preprint by @sunjae_shim w/ @LilaDavachi which began as Sunjae's undergrad thesis in the lab! Event boundaries in memory don't require prediction error, but instead depend on the dynamics of working memory during encoding: osf.io/preprints/psya…

🔔NEW PREPRINT ALERT🔔 Beyond excited to present our new work showcasing how we can predict how well you will reinstate a new memory before that memory is formed! Wait what? Exciting collab with Norman Lab Columbia DPM Lab Chris Baldassano! Link: biorxiv.org/content/10.110… (1/11)