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Marcelo Mattar @marcelomattar.bsky.social · 14d

Very cool! Looking forward to seeing what work will come out of this great team!

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Marcelo Mattar @marcelomattar.bsky.social · 21d

Amazing! Congratulations, Luke!

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Marcelo Mattar @marcelomattar.bsky.social · Sep 7

So happy to see this manuscript on biorxiv after so many years in the making! Thank you Matthieu for all your hard work, and @sreejan.bsky.social for all of the novel contributions and for pushing it through the finish line! And looking forward to comments from the community!

Sreejan Kumar @sreejan.bsky.social · Sep 6

I'm excited to share that my new postdoctoral position is going so well that I submitted a new paper at the end of my first week! www.biorxiv.org/content/10.1... A thread below

Sensory Compression as a Unifying Principle for Action Chunking and Time Coding in the Brain

The brain seamlessly transforms sensory information into precisely-timed movements, enabling us to type familiar words, play musical instruments, or perform complex motor routines with millisecond pre...

www.biorxiv.org

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Reposted by Marcelo Mattar

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

🚀Excited to share our project: Canonical Representational Mapping for Cognitive Neuroscience. @schottdorflab.bsky.social and I propose a novel multivariate method to isolate neural representations aligned with specific cognitive hypotheses 🧵https://www.biorxiv.org/content/10.1101/2025.09.01.673485v1

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Reposted by Marcelo Mattar

Ida Momennejad @neuroai.bsky.social · Sep 3

What are your pros/cons of using AI in science?

Feel free to respond wrt use or harm in the design of experiments, coding experiments, coding analysis, brain storming analysis, summarizing literature, synthesis of ideas, modeling, novel model development, mathematical proofs, writing, editing.

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Marcelo Mattar @marcelomattar.bsky.social · Aug 29

Thanks!

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Deng Pan @dengpan.bsky.social · Aug 28

🚨We believe this is a major step forward in how we study hippocampus function in healthy humans.

Using novel behavioral tasks, fMRI, RL & RNN modeling, and transcranial ultrasound stimulation (TUS), we demonstrate the causal role of hippocampus in relational structure learning.

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Marcelo Mattar @marcelomattar.bsky.social · Aug 20

I'm honored to serve as Expert Advisor for "The Alignment Project", an international initiative dedicated to ensuring AI systems are safe and beneficial. They are providing significant funding, compute, and collaboration opportunities for researchers---including those in cogsci/neuro. Please apply!

Geoffrey Irving @girving.bsky.social · Jul 30

I am very excited that AISI is announcing over £15M in funding for AI alignment and control, in partnership with other governments, industry, VCs, and philanthropists!

Here is a 🧵 about why it is important to bring more independent ideas and expertise into this space.

alignmentproject.aisi.gov.uk

The Alignment Project by AISI — The AI Security Institute

The Alignment Project funds groundbreaking AI alignment research to address one of AI’s most urgent challenges: ensuring advanced systems act predictably, safely, and for society’s benefit.

alignmentproject.aisi.gov.uk

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Geoffrey Irving @girving.bsky.social · Jul 30

I am very excited that AISI is announcing over £15M in funding for AI alignment and control, in partnership with other governments, industry, VCs, and philanthropists!

Here is a 🧵 about why it is important to bring more independent ideas and expertise into this space.

alignmentproject.aisi.gov.uk

The Alignment Project by AISI — The AI Security Institute

The Alignment Project funds groundbreaking AI alignment research to address one of AI’s most urgent challenges: ensuring advanced systems act predictably, safely, and for society’s benefit.

alignmentproject.aisi.gov.uk

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Reposted by Marcelo Mattar

Erin Grant @eringrant.me · Aug 13

Are similar representations in neural nets evidence of shared computation? In new theory work w/ Lukas Braun (lukasbraun.com) & @saxelab.bsky.social, we prove that representational comparisons are ill-posed in general, unless networks are efficient.

@icmlconf.bsky.social @cogcompneuro.bsky.social

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Marcelo Mattar @marcelomattar.bsky.social · Aug 13

This is very cool! Congrats @eringrant.me !

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Marcelo Mattar @marcelomattar.bsky.social · Aug 7

It's a very cool idea! Let's do it!

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Reposted by Marcelo Mattar

Laurence Hunt @lhuntneuro.bsky.social · Aug 2

Our new paper is out! When navigating through an environment, how do we combine our general sense of direction with known landmark states? To explore this, @denislan.bsky.social used a task that allowed subjects (or neural networks) to choose either their next action or next state at each step.

PLOS Biology @plosbiology.org · Aug 1

How do humans navigate unfamiliar environments? @denislan.bsky.social @lhuntneuro.bsky.social @summerfieldlab.bsky.social show that humans & deep meta-learning networks combine ‘vector-based’ & ‘transition-based’ strategies for flexible navigation in similar ways @plosbiology.org 🧪 plos.io/45uSwNm

Task design and experimental set-up. Top left: underlying structure of the 8 × 8 grid, unseen by participants. Every state is represented by an image of an object, and these objects and their positions change on every trial. Top right: schematic diagram of the ‘map reading’ phase of each trial. Participants see a top–down view of the grid with objects obscured and successively click on blue squares to reveal ‘landmark’ objects at the location. After 16 clicks have been completed, a yellow square appears. Clicking on the yellow square reveals the ‘goal’ object for the trial. Bottom: schematic diagram of the navigation phase of each trial. Participants start in a random, previously unobserved location and are tasked with navigating to the ‘goal’ object they had just learnt about (displayed at the top). They can navigate in two ways. First, they could choose a direction to travel in by clicking on the corresponding arrow (highlighted yellow). This is analogous to using a ‘vector-based’ strategy. Alternatively, they could choose an adjacent state to travel to by clicking on one of the associated images (displayed in a random order; highlighted blue). This corresponds to using a ‘transition-based’ navigation strategy.

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Reposted by Marcelo Mattar

Wei Ji Ma @weijima.bsky.social · Jul 28

Thinking of applying to US-based Ph.D. programs in neuroscience, psychology, or cognitive science? We’ve got your back! NYU’s Application Support Group is a student-led, free mentorship program offering 1-on-1 support and guidance. Apply now! docs.google.com/forms/d/e/1F...

NYU Application Support Group Matching Form

Dear Prospective Neuroscience & Psychology PhD Students, We are a group of current NYU Neuroscience & Psychology PhD students who would like to help you with your PhD applications. We want to support...

docs.google.com

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Reposted by Marcelo Mattar

Paul Sharp @paulbsharp.bsky.social · Jul 22

🚨 Fully Funded PhD positions

Gonda Brain Institute, Sharp Lab

We will explore how people build and deploy world models efficiently for planning and decision making. We will also seek to characterize how world models construal and use is biased in anxiety.

Deadline: 1 Sept 2025. Please share!

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Reposted by Marcelo Mattar

Noga Zaslavsky @nogazs.bsky.social · Jul 21

📣 I'm looking for a postdoc to join my lab at NYU! Come work with me on a principled, theory-driven approach to studying language, learning, and reasoning, in humans and AI agents.
Apply here: apply.interfolio.com/170656
And come chat with me at #CogSci2025 if interested!

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Reposted by Marcelo Mattar

Sebastian Michelmann @s-michelmann.bsky.social · Jul 19

Fantastic work by our (now former) lab manager Liv Christiano. We assess the test-retest reliability of OPM and compare it to fMRI and iEEG. 🧠📄🧵

Olivia Christiano @oliviachristiano.bsky.social · Jul 19

How reliable is OPM-MEG, and how does it compare to other neuroimaging modalities? 🤔

In a new preprint with ‪@s-michelmann.bsky.social‬, we evaluate the reliability of OPM-MEG within & between individuals, and compare it to fMRI & iEEG during repeated movie viewing. 🧠

📄 doi.org/10.1101/2025...

Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm

Optically pumped magnetometers (OPMs) offer a promising advancement in noninvasive neuroimaging via magnetoencephalography (MEG), but establishing their reliability and comparability to existing metho...

doi.org

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Reposted by Marcelo Mattar

Olivia Christiano @oliviachristiano.bsky.social · Jul 19

How reliable is OPM-MEG, and how does it compare to other neuroimaging modalities? 🤔

In a new preprint with ‪@s-michelmann.bsky.social‬, we evaluate the reliability of OPM-MEG within & between individuals, and compare it to fMRI & iEEG during repeated movie viewing. 🧠

📄 doi.org/10.1101/2025...

Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm

Optically pumped magnetometers (OPMs) offer a promising advancement in noninvasive neuroimaging via magnetoencephalography (MEG), but establishing their reliability and comparability to existing metho...

doi.org

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Marcelo Mattar @marcelomattar.bsky.social · Jul 17

Beautiful work by @neurozz.bsky.social and @annaschapiro.bsky.social !

Zhenglong Zhou @neurozz.bsky.social · Jul 16

Excited to share a new preprint w/ @annaschapiro.bsky.social! Why are there gradients of plasticity and sparsity along the neocortex–hippocampus hierarchy? We show that brain-like organization of these properties emerges in ANNs that meta-learn layer-wise plasticity and sparsity. bit.ly/4kB1yg5

A gradient of complementary learning systems emerges through meta-learning

Long-term learning and memory in the primate brain rely on a series of hierarchically organized subsystems extending from early sensory neocortical areas to the hippocampus. The components differ in t...

bit.ly

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Reposted by Marcelo Mattar

Zhenglong Zhou @neurozz.bsky.social · Jul 16

Excited to share a new preprint w/ @annaschapiro.bsky.social! Why are there gradients of plasticity and sparsity along the neocortex–hippocampus hierarchy? We show that brain-like organization of these properties emerges in ANNs that meta-learn layer-wise plasticity and sparsity. bit.ly/4kB1yg5

A gradient of complementary learning systems emerges through meta-learning

Long-term learning and memory in the primate brain rely on a series of hierarchically organized subsystems extending from early sensory neocortical areas to the hippocampus. The components differ in t...

bit.ly

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Reposted by Marcelo Mattar

Shenhav Lab @shenhavlab.bsky.social · Jul 10

Our newest paper, led by Romy Froemer
and @fredcallaway.bsky.social‬, is now out in Open Mind: “Considering What We Know and What We Don’t Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-Making”

direct.mit.edu/opmi/article...

Considering What We Know and What We Don’t Know: Expectations and Confidence Guide Value Integration in Value-Based Decision-Making

Abstract. When making decisions, we often have more information about some options than others. Previous work has shown that people are more likely to choose options that they look at more and those t...

direct.mit.edu

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Reposted by Marcelo Mattar

Josh de Leeuw @joshdeleeuw.bsky.social · Jul 8

Want to know what kinds of studies webcam-based eye tracking can be used for? Here's our take on the current tech. This certainly isn't the first paper on this topic, but it provides some converging evidence about the viability of eye tracking with online methods. online.ucpress.edu/collabra/art...

What Paradigms Can Webcam Eye-Tracking Be Used For? Attempted Replications of Five Cognitive Science Experiments

Web-based data collection allows researchers to recruit large and diverse samples with fewer resources than lab-based studies require. Recent innovations have expanded the set of methodolgies that are...

online.ucpress.edu

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Marcelo Mattar @marcelomattar.bsky.social · Jul 3

Very cool. Will the talk be recorded?

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Marcelo Mattar @marcelomattar.bsky.social · Jul 3

Looks super interesting! Can't wait to read!

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Marcelo Mattar @marcelomattar.bsky.social · Jul 3

YAY!!! I'm so happy for you, Anna! 🎉 Can't wait to see what your post-tenure research looks like! I'll be watching closely.

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