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Sebastian Michelmann

@s-michelmann.bsky.social

770 followers 400 following 54 posts

Cognitive neuroscientist (Assistant Professor at NYU), human episodic memory, M/EEG, ECoG, and behavior. How do we reinstate temporally dynamic, information-rich memories?

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Sebastian Michelmann @s-michelmann.bsky.social · Feb 13

Excited to share our preprint "Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search" 🧠✨ We leverage iEEG to elucidate the fast neural mechanisms by which long multimodal narratives are unfurled in continuous memory-search tinyurl.com/wjkr3dvf

Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search

Prior behavioral work showed that event structure plays a key role in our ability to mentally search through memories of continuous naturalistic experience. We hypothesized that, neurally, this memory...

tinyurl.com

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Reposted by Sebastian Michelmann

Grace Lindsay @neurograce.bsky.social · 23d

I don't know that it works perfectly, but I have to say that the Asta search tool from @ai2.bsky.social is exactly what I want from an AI-powered research search tool for scientists: Describe a style of experiment or work and see if there are papers that have done that.
asta.allen.ai/chat

Ai2 Asta

asta.allen.ai

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Reposted by Sebastian Michelmann

Nora Newcombe @noranewcombe.bsky.social · 1d

Thrilled to see this paper out! It's the culmination of a project begun in the depths of the pandemic with Sabrina Karjack and @zoengo.bsky.social . We continue our exploration of how children generalize when their episodic memory is not yet mature.
www.nature.com/articles/s41...

The dependence of children’s generalization on episodic memory varies with age and level of abstraction - Nature Communications

Children’s ability to generalize from episodic memories varies by both age and the level of abstraction. Here, the authors show that lower level generalization increasingly depends on episodic memory with age, whereas higher level generalization shows no such relationship.

www.nature.com

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Reposted by Sebastian Michelmann

Aidan Horner @aidanhorner.bsky.social · 2d

If you're interested in the cognitive neuroscience of memory feel free to email me!

I do experimental psychology, brain imaging (fMRI and MEG) and a bit of modelling. Lab is doing stuff on forgetting, aging, schemas, and event boundaries, but we're not limited to that.

#psychscisky #neuroskyence

Aidan Horner @aidanhorner.bsky.social · 2d

It's that time of year when many start thinking about applying for PhDs. If you're applying for a UK PhD position, here is a blog post I wrote a while back that might be helpful

#cognition #psychscisky #neuroskyence #psychjobs

How to get PhD funding in the UK

It is that time of year again. The leaves are turning golden, red, and orange (or just brown), the nights are drawing in, and there is a chi...

aidanhorner.blogspot.com

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Reposted by Sebastian Michelmann

Mark Ho @markkho.bsky.social · 2d

I'm recruiting grad students!! 🎓

The CoDec Lab @ NYU (codec-lab.github.io) is looking for PhD students (Fall 2026) interested in computational approaches to social cognition & problem solving 🧠

Applications through Psych (tinyurl.com/nyucp) are due Dec 1. Reach out with Qs & please repost! 🙏

codec lab

codec-lab.github.io

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Reposted by Sebastian Michelmann

Brad Postle @bradpostle.bsky.social · 2d

doi.org/10.21428/8e6...

Principles for proper peer review

doi.org

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Reposted by Sebastian Michelmann

Daniel Pacheco Estefan @dpacheco.bsky.social · 2d

Job alert!🚨
Join us @uab.cat to investigate human memory representations with intracranial recordings, eye-tracking, immersive VR and deep learning. This is a fully funded, four-year PhD position at the Prediction and Memory Lab.
Feel free to reach out if you have any questions!

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Reposted by Sebastian Michelmann

Sam Nastase @samnastase.bsky.social · 7d

I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @usc.edu will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.

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Reposted by Sebastian Michelmann

Alexa Tompary @alexatompary.bsky.social · 13d

The MAC lab at Drexel is looking for a new post-doc to work on NIH-funded projects investigating the intersection of prior knowledge and long-term memory consolidation. Please pass along to any interested lab members! careers.drexel.edu/cw/en-us/job...

Careers at Drexel - Human Resources

careers.drexel.edu

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Sebastian Michelmann @s-michelmann.bsky.social · 14d

Congratulations, Josh!!! 🎉🎊🙌

Reposted by Sebastian Michelmann

Mariam Aly @mariamaly.bsky.social · 16d

Excited to release the SPOT grid: a new image set that factorially crosses scene-object & texture-pattern pairings.

We hope these stimuli will be useful to researchers aiming to (partially) disentangle the contributions of lower- and higher-level visual features to behavior & brain activity.

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8x8 grid depicting the approach to stimulus creation. Feature pairs are on the axes and images are in the cells. The x-axis represents the high-level feature pairs: setting (green) and object (teal). For example, the first column of images all depict “truck” (object) in “field” (setting) rendered in various textures and patterns. The y-axis represents low-level feature pairs: texture (blue) and pattern (purple). For example, the first row of images all depict different objects and settings rendered as if drawn with crayon (texture) and containing large horizontal edges (pattern).

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Reposted by Sebastian Michelmann

aaron bornstein @aaronbornstein.bsky.social · 27d

Come work with us! UC Irvine Cognitive Sciences is looking for a new Assistant Professor to join our team: recruit.ap.uci.edu/JPF09896

I'm not on the committee, but happy to talk if you're interested.

Assistant Professor - Cognitive Sciences

University of California, Irvine is hiring. Apply now!

recruit.ap.uci.edu

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 8

(end) Regarding (4), we already have a discussion point that speaks to this. You can constrain Dxy to a value other than 0, so if there is a known correlation r in your data, you can define your constraining space as wx’*Dxy*wy = r

Sebastian Michelmann @s-michelmann.bsky.social · Sep 8

(1) Hi @ar0mcintosh.bsky.social I think a tensor version of CRM should be feasible; similar work has been done with CCA (arxiv.org/abs/1502.02330). @schottdorflab.bsky.social what are your thoughts on this?

Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

Canonical correlation analysis (CCA) has proven an effective tool for two-view dimension reduction due to its profound theoretical foundation and success in practical applications. In respect of multi...

arxiv.org

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(7) I would say that partial correlation is a closer analogy to CRM than semi-partial because we find weights for both sides. Technically, CRM is rather steering the solution away from variance shared with the confound than regressing it out.

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(6) It is true that CRM would find a lower bound of maximal correlation because the max includes the confound and should be higher.

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(5) There are many other situations where the strongest correlations are *not* of interest. E.g., ERPs have typical shapes; if you wanted to find a condition specific waveform, you could estimate Cxy between ERPs from the same condition and compute Dxy from ERPs belonging to different conditions.

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(4) Another straightforward choice for Dxy is to recompute the same cross-covariance matrix as in Cxy but on data bandpass filtered around the line-noise band (we use this in example 3 in the paper).

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(3) The key to using CRM is to find a useful Dxy. This can be different data (e.g., from a baseline period), or the same pseudo-randomized data where only the association of interest is eliminated.

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(2) CRM is different because it adds the constraint that the projected cross-covariance wx’*Dxy*wy should remain zero. The motivating idea is that not all correlations are of interest, so if we can narrow down what the noise/confound signal looks like, we can meaningfully restrict our optimization.

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

(1) regarding the relationship to PLS: my understanding is that PLS and CCA can be viewed as very similar optimization problems and even as the same problem if the variance of the projected data is 1. Agoston Mihalik (Mihalik et al. 2022) has a great comparison of CCA vs. PLS.

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 6

Hi @hritz.bsky.social, @ar0mcintosh.bsky.social
, @pascualmarqui.bsky.social ,and @martinhebart.bsky.social
Thank you all for your interest and for these great comments! I will try to answer your questions below:

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Reposted by Sebastian Michelmann

SchottdorfLab @schottdorflab.bsky.social · Sep 5

Our latest project find shared representations while controlling for confounds is out www.biorxiv.org/content/10.1... Check @s-michelmann.bsky.social 's thread for the executive summary. Code in python and matlab: github.com/s-michelmann... — Now is play time 👨‍💻

| bioRxiv

bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution

www.biorxiv.org

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Reposted by Sebastian Michelmann

bioRxiv Neuroscience @biorxiv-neursci.bsky.social · Sep 5

Canonical Representational Mapping for Cognitive Neuroscience https://www.biorxiv.org/content/10.1101/2025.09.01.673485v1

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 5

www.biorxiv.org/content/10.1...

www.biorxiv.org

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Sebastian Michelmann @s-michelmann.bsky.social · Sep 5

We believe that CRM can be broadly useful for everyone studying representations in cognitive neuroscience. Our code is openly available as a toolbox (github.com/s-michelmann...), it includes MATLAB and Python versions with examples and simulations

GitHub - s-michelmann/crm

Contribute to s-michelmann/crm development by creating an account on GitHub.

github.com

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