New Preprint Alert! With @jasonleng.bsky.social @ashenhav.bsky.social @shenhavlab.bsky.social “Characterizing the causes, dynamics, and consequences of choice deferral” osf.io/preprints/ps... 🧵🧵🧵

github.com/harrisonritz...

GitHub - harrisonritz/DynamicsTutorial_CCN2026: Putting Dynamics First: State-Space Modelling for Human Neuroscience

Putting Dynamics First: State-Space Modelling for Human Neuroscience - harrisonritz/DynamicsTutorial_CCN2026

github.com

Harrison Ritz@hritz.bsky.social · 4d ago

ccn tutorial coming together just in time. nilearn through julia PyCall in colab. Shouldn't be possible.

Our paper is out in @natmachintell.nature.com! We trained multiple RNNs to perform free recall. The best-performing ones learned a strategy akin to the memory palace technique. See thread below for more info. www.nature.com/articles/s42...

A neural network model of free recall learns multiple memory strategies - Nature Machine Intelligence

Li et al. show that recurrent neural networks optimized for free recall discover diverse, human-like memory strategies beyond classical temporal context models, with top models using an index-based me...

nature.com

Excited to be presenting @wmsymposium.bsky.social tomorrow, July 16 at 11:45am CDT! I’ll be sharing my recent work where we provide evidence for a revised model of memory control, in which multiple distinct mechanisms support the regulation of intrusive thoughts. Hope to see you there!

WMSymposium.bsky.social@wmsymposium.bsky.social · 3w ago

WMS2026 will kick off tomorrow at 9am CDT! If you are interested in cutting-edge working memory research and ECR-promoting vibrant community of scientists, come check it out! Don't forget to check out the program (www.wmsymposium.org) and join the slack!

How do we regroup and resume goal directed behaviors when distractions pull us away from our plans? In a snake game inspired memory task, we found people flexibly replan after distraction, but this flexibility was constrained, worked for only one item in memory. www.nature.com/articles/s44...

Ziyao Zhang@bulezz.bsky.social · 4mo ago

new preprint! 🐍 In a dynamic Snake game inspired task, we show participants flexibly replan their behaviors after distraction, but this ability is constrained by memory load and distraction strength. EEG results coming soon👀 osf.io/preprints/ps...

After five years in the US 🇺🇸, I'll soon be returning to my hometown of Strasbourg, where I'll join INSERM as a tenure-track Junior Group Leader and launch the MInD (Motivation, Inattention & Distraction) Research Group. 🇫🇷🇪🇺 Two graduate positions available: matthieuchidharom.wixsite.com/mind

As of today, I'm officially an Assistant Professor at the University of California Davis! I'm so excited to be joining the Department of Psychology and the Center for Mind and Brain, and I'm looking forward to getting settled into the new lab and embarking on a lot of fun new research this year

ATTENTION!!! The program of Working Memory Symposium (WMS) 2026 (July 14-17) is out! sites.google.com/view/wmsympo... This year, WMS will feature a single stream presentation of 52 talks (39 talks and 13 blitz) + 1 panel discussion across 4 days. Looking forward to seeing you all!!!

Kristen Wiig: I'm Ready To Party! - Bridesmaids

ALT: Kristen Wiig: I'm Ready To Party! - Bridesmaids

static.klipy.com

Dimensionality reduction is how the brain acquires knowledge. Cool new paper from the late, great, Mark Stokes. www.nature.com/articles/s41... #neuroscience

Learning shapes neural geometry in the primate prefrontal cortex - Nature Neuroscience

Learning transforms prefrontal cortex activity from flexible, high-dimensional representations into compact, task-relevant and abstract codes, enabling efficient generalization of learned rules to new...

nature.com

I am recruiting a postdoctoral researcher and a PhD student, funded by a new ERC grant. The grant focuses on the role of the hippocampus in visual perception, using 7T fMRI (hippocampal subfields, cortical layers) and MEG+iEEG. The intended start dates for both positions are in early 2027. 🧠🟦 1/3

Online Now: Looking into working memory through micro eye movements

Looking into working memory through micro eye movements

Understanding how humans select, rehearse, and transform internal representations ‘in mind’ is vital. Gaining access to these latent working-memory processes, however, is not trivial. Here, I review the recent discovery that working-memory processes ‘leak’ into spatial biases in minuscule eye movements known as microsaccades. I first unpack this central finding and position it alongside complementary findings from the literature on attention, memory, and eye movements. Next, I adopt a pragmatic perspective, showcasing how microsaccade biases can be leveraged as a versatile signal to ‘track’ working-memory processes, with benefits that complement traditional brain-imaging approaches. Finally, I outline opportunities and future avenues opened by this recently exposed and remarkably reliable association between externally accessible micro eye movements and internal working-memory processes.

dlvr.it

New preprint alert! doi.org/10.64898/202... Throughout life, we are often told to persist in the pursuit of our long term goals. However, the most important factor to consider in the real world for whether to continue pursuit or abandon one's goal is knowing how much progress you are making.

Prefrontal mechanisms of goal progress inference and monitoring in macaque monkeys

Primates pursue goals over extended periods and over multiple steps. The ability to track progress and its rate is critical for such pursuit, yet the neural mechanisms of this tracking are unclear. We...

doi.org

I am looking for a postdoctoral researcher to join my lab at Sabancı University in Istanbul for a 2-year TÜBİTAK-funded position, with possible extension. Interested candidates can email me with a CV and a brief note about their research interests. More details on gunselilab.com soon.

We make flexible choices in new situations by knitting together information from separate relevant memories. But what governs which memories are retrieved and when? In a new preprint, we captured how people build decision variables from different memories by tracking their gaze on a blank screen.

Flexible decisions arise from resource-rational memory sampling

Flexible decision making depends on retrieving and recombining memories. Yet because this process unfolds covertly, its governing principles remain unknown. Here we use gaze reinstatement to uncover t...

biorxiv.org

This work is now published in Nature Communications! We were able to train participants to have near-perfect memory for lists of 40 words - they added creative details to their memory representations that we could measure in their behavior and brains 🧠 doi.org/10.1038/s414...

Binding items to contexts through conjunctive neural representations with the method of loci - Nature Communications

This study of a mnemonic technique found that highly effective memory is supported by “conjunctive” representations in the brain’s Default Mode Network, which reflects the unique, creative details use...

doi.org

Jiawen Huang@huangjiawen.bsky.social · 2y ago

New preprint with Akshay Manglik, Nick Dutra, Hannah Tarder-Stoll, @tchamberlain.bsky.social, Robert Ajemian, @qiongzhang.bsky.social, @ptoncompmemlab.bsky.social, @chrisbaldassano.bsky.social looking at conjunctive representation during Method of Loci! www.biorxiv.org/content/10.1...

We gave a tutorial on @nwb.org and DANDI at @cosynemeeting.bsky.social this year. If you couldn't make it (or want a refresher), the full recording is up on YouTube. Covers everything from data standardization to finding and reusing public neurophysiology datasets on DANDI.

Cosyne 2026 - Tutorial: Open Neurophysiology Data Tutorial: NWB, DANDI, and IBL

YouTube video by Cosyne Talks

youtube.com

Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:

Human learning of noninvasive brain–computer interfaces via manifold geometry - Nature Neuroscience

Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...

nature.com

Thrilled to publish this in @thetransmitter.bsky.social - such a thoughtful platform for the conversations neuroscience needs to be having about AI, open science, and the future of our field.

The Transmitter @thetransmitter.bsky.social · 12mo ago

With LLMs, researchers can develop software entirely through natural language conversations. This shift is transforming how research gets done, offering new opportunities and new challenges, writes ‪Benjamin Dichter. #neuroskyence www.thetransmitter.org/craft-and-ca...

Postdoc position available at postlab.psych.wisc.edu. Pls send cv to postle@wisc.edu

The Naturalistic Cognitive Computational Neuroscience Lab is launching at UT Austin and is looking for founding members at all levels, including lab manager, PhD students, and postdocs! #NeuroJobs We will study human brain🧠 and memory & attention, using fMRI and modeling. thesonglab.github.io

New preprint! 🚨 Work w/ Sangita Dandekar & Clayton Curtis at NYU during my PhD. We show how prefrontal & visual cortices coordinate to keep working memories alive via localized & long-range β-band dynamics. 🧠 www.biorxiv.org/content/10.6... (1/5)

🎉New paper out today in Nature Reviews Psychology🎉 with @mjdahl.bsky.social, @mariamaly.bsky.social, and @thiasmittner.bsky.social. We've been working on a unified framework for attentional states and the dynamics of transitions between them. 🧵

New review with Cheng Xue at U Chicago @cxue.bsky.social in Trends Neurosci@cp-trendsneuro.bsky.social! We discuss the neural geometry of task-dependent computation: disentangled encoding, RNN modeling, switch cost, etc. www.cell.com/trends/neuro...

The ‘neat’ and ‘messy’ in task-dependent neural geometry and computation

To solve diverse real-world tasks, the brain must flexibly switch between task rules and adjust computations. Recent advances in analyzing neural data and modeling neural networks have revealed their ...

cell.com

Abstract and Concrete Working Memory Information in Human Visual Cortex https://www.biorxiv.org/content/10.64898/2026.05.23.727368v1

Now out in Current Opinion in Neurobiology! We propose that biases in perception & memory emerge naturally from an adaptive, hierarchical human learning system. w/ @timbrady.bsky.social + sky-less et al. www.sciencedirect.com/science/arti...

Attraction and repulsion in perception and working memory as complementary outcomes of learning

Visual perception is imperfect. Fortunately, the environment contains an incredible amount of structure that observers can learn to exploit through ex…

sciencedirect.com

Announcing: a new interactive online tool for a quick and simple start of encoding or encoding: 🧠 fMRI, EEG, MEG, iEEG, spikes… preprocessing 💬 text 🔊 audio ▶️ video 🏞️ image… embeddings 📦 pip install neuralset 🔍https://facebookresearch.github.io/neuroai/neuralset/index.html

@wmsymposium.bsky.social 📢 📢 📢 ABSTRACT SUBMISSION IS OPEN 📢 📢 📢 The #workingmemory Symposium will be held online July 14-17, 2026. 🥳 🎤🎤🎤Talks will be either a standard 12-minute length (with 3 minutes for Q&A), or a 3-minute data "blitz" style presentation. docs.google.com/forms/d/e/1F...

WMS 2026 Abstract Submission Form

The Working Memory Symposium (WMS) is a virtual conference promoting scientific discourse on working memory for researchers using any model system, targeting any population, and using any research met...

docs.google.com

I am thrilled to share that I will be joining the Department of Psychology & Neuroscience at CU Boulder in January 2027, where I'll be starting the Affective Learning and Translational Memory (AltMem) Lab. I am also recruiting PhD students in the upcoming cycle (starting fall 2027)! altmemlab.org

Very excited to have this officially published: A neural state space for episodic memories A brief thread... #neuroskyence #psychscisky #cognition 🧪 @cp-trendscognsci.bsky.social

A neural state space for episodic memories

Episodic memories are highly dynamic and change in nonlinear ways over time. This dynamism is not captured by existing systems consolidation theories …

sciencedirect.com

Jeee 🐦‍⬛ I am very proud of our joint effort with @sreejan.bsky.social on the project "Reason to Play" LRMs show human-like rule discovery, and their hidden states predict human brain activity during gameplay 10x better than previous methods Interactive demo + paper: botcs.github.io/reason-to-pl...

Reason to Play - Behavioral and Brain Alignment

32 fMRI-scanned humans and 8 frontier open weight LLMs play ARC-AGI like games with no rules given. The reasoning models match the human learning trajectories and their hidden states predict human bra...

botcs.github.io