Harrison Ritz
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hritz.bsky.social
Harrison Ritz
@hritz.bsky.social
cybernetic cognitive control 🤖
computational cognitive neuroscience 🧠
postdoc princeton neuro 🍕
he/him 🇨🇦 harrisonritz.github.io
Pinned
We put out this preprint a couple months ago, but I really wanted to replicate our findings before we went to publication.

At first, what we found was very confusing!

But when we dug in, it revealed a fascinating neural strategy for how we switch between tasks

doi.org/10.1101/2024.09.29.615736

🧵
looks like an awesome setup for brms
First release of stanflow! v0.1.0 was a few days later than I'd like, but its up now.

Stanflow is a metapackage a la tidyverse for a Stan Bayesian workflow--see the README for more details/features!

Feedback/issues/PRs are always appreciated.

#rstats #bayes
GitHub - VisruthSK/stanflow: R Package for a Mildly Opinionated Stan Bayesian Workflow
R Package for a Mildly Opinionated Stan Bayesian Workflow - VisruthSK/stanflow
github.com
February 6, 2026 at 6:09 PM
Reposted by Harrison Ritz
New Journal Club: Neural manifolds are maturing from visualization trick to biological claim. But if population activity lives on low-dimensional manifolds, what constrains the geometry?
Manifolds, Dendrites, and the Geometry of Neural Computation
The population doctrine—the view that populations, not individual neurons, constitute the fundamental unit of computation—has been gaining ground for years.
open.substack.com
February 6, 2026 at 2:23 AM
so I have to watch nirvana the show the band now eh
February 6, 2026 at 1:48 AM
Reposted by Harrison Ritz
The visual world is composed of objects, and those objects are composed of features. But do VLMs exploit this compositional structure when processing multi-object scenes? In our 🆒🆕 #ICLR2026 paper, we find they do – via emergent symbolic mechanisms for visual binding. 🧵👇
February 5, 2026 at 8:55 PM
Reposted by Harrison Ritz
Excited to share our chapter "Breaking the Tug-of-War: What Neuroeconomics Can Gain by Moving Past Competition-Only Models" with Yi-Hsin Su, Romy Frömer, and @ashenhav.bsky.social, now out in the new volume, "Neuroeconomics: Core Topics and Current Directions"!
doi.org/10.1007/978-3-032-02925-6_10
Breaking the Tug-of-War: What Neuroeconomics Can Gain by Moving Past Competition-Only Models
Popular models of decision-making characterize choice dynamics as a tug-of-war process, where evidence for competing options accumulates until a threshold is reached. While these models capture severa...
doi.org
February 5, 2026 at 7:48 AM
Reposted by Harrison Ritz
After 20 years as psychology's golden child, ego depletion collapsed. Now it's back...with a catch. The secret? Make people work for 30-40 minutes instead of 5. In other words, we finally discovered fatigue.

New post on the redemption tour.
Congratulations, You've Discovered Fatigue
Just when I thought I was out, they pull me back in.
www.speakandregret.michaelinzlicht.com
February 4, 2026 at 1:26 PM
Final paper of my PhD 🤗

www.nature.com/articles/s44...

There is growing interest in how cognitive control may improve value-based decision making.

However, we find that a recent paper overestimated the role of control in their task, leading to erroneous interpretations of dACC recordings.
Misspecified models create the appearance of adaptive control during value-based choice - Communications Psychology
In a new computational analysis of previous work, this study shows that a control-free mechanism better accounts for value-based decisions than an account that assumes top-down control invigorating th...
www.nature.com
February 3, 2026 at 10:59 PM
Reposted by Harrison Ritz
Soon hiring a lab manager! Looking for someone who is really interested in language neuroscience, who is organised, motivated, a great communicator, and who works well in a research team. Express interest by submitting this form: tinyurl.com/glysn-labman...

Reposts appreciated!
tinyurl.com
February 3, 2026 at 4:14 PM
Reposted by Harrison Ritz
Why don’t neural networks learn all at once, but instead progress from simple to complex solutions? And what does “simple” even mean across different neural network architectures?

Sharing our new paper @iclr_conf led by Yedi Zhang with Peter Latham

arxiv.org/abs/2512.20607
February 3, 2026 at 4:19 PM
Reposted by Harrison Ritz
1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.
February 2, 2026 at 4:00 PM
very cool work
𝗧𝗵𝗿𝗲𝗮𝘁/𝗲𝗺𝗼𝘁𝗶𝗼𝗻 𝗶𝘀 𝗱𝘆𝗻𝗮𝗺𝗶𝗰
So we model the dynamics.
Version of record of our paper is available.
#neuroskyence
elifesciences.org/articles/102...
February 1, 2026 at 6:20 PM
This is a craziest scene in Police Story
February 1, 2026 at 2:50 PM
Reposted by Harrison Ritz
Toward model-based design of causal manipulations of brain circuits with high spatiotemporal precision
doi.org/10.1016/j.co...
#neuroscience
Redirecting
doi.org
January 31, 2026 at 7:31 PM
Reposted by Harrison Ritz
A new study from Anthropic finds that gains in coding efficiency when relying on AI assistance did did not meet statistical significance; AI use noticeably degraded programmers’ understanding of what they were doing. Incredible.
January 30, 2026 at 11:47 PM
Reposted by Harrison Ritz
New open source: cuthbert 🐛

State space models with all the hotness: (temporally) parallelisable, JAX, Kalman, SMC
January 30, 2026 at 4:26 PM
Reposted by Harrison Ritz
While humans spontaneously dance to a beat, the evolutionary origins of this ability remain debated. Behavioral work has shown that primates can move to auditory rhythms after training.

Our question was: How does this association emerge in the brain?

www.biorxiv.org/content/10....
Reward-driven emergence of auditory pattern encoding in the primate motor system
The ability to anticipate rhythmic patterns is fundamental to human experience, enabling music appreciation, speech comprehension, and dancing in sync to music. How the brain learns to use acoustic information to guide motor behavior remains a key question whose neural underpinnings and evolutionary origins are debated, especially in non-human primates. To understand how brain areas involved in motor control naively respond to predictable tone patterns, we recorded large single neuron populations across primary somatosensory (S1), primary motor (M1), dorsal premotor (PMd), supplementary motor (SMA), pre-supplementary motor (preSMA) cortices, globus pallidus interna (GPi), and medial geniculate body (MGB) of a rhesus monkey. During passive listening (Experiment 1) with a reward only at the end of each trial, primarily the MGB, not motor areas, responded to the auditory tone patterns, ruling out the spontaneous entrainment of motor activity to auditory patterns. Almost all areas robustly
www.biorxiv.org
January 30, 2026 at 7:41 PM
Reposted by Harrison Ritz
Reposted by Harrison Ritz
#JNeurosci: Results from Hall-McMaster, @nicoschuck.bsky.social, @gershbrain.bsky.social et al suggest the entorhinal cortex might highlight aspects of past experiences that can be generalized, allowing us to make effective decisions in new environments https://doi.org/10.1523/JNEUROSCI.1492-25.2025
January 30, 2026 at 2:25 PM
Reposted by Harrison Ritz
NeMoS 0.2.6 is out!
✅ ClassificationGLM for multi-class problems
✅ Gaussian & categorical observation models
✅ JIT-compiled bases for major speedups
Full release notes: github.com/flatironinst...
Release NeMoS 0.2.6 Release Notes · flatironinstitute/nemos
New Features ClassifierGLM A new GLM class for classification tasks, enabling multi-class classification with the familiar NeMoS API. New Observation Models Gaussian observations: Model continuous...
github.com
January 29, 2026 at 7:54 PM
Reposted by Harrison Ritz
📣 Attention Neuroimagers!📣 We are asking for community input on how ✨analysis pipelines are chosen in neuroimaging research✨ If you are a student/staff/faculty engaged in neuroimaging research, please complete our SUPER SHORT SURVEY! Thank you!🙏🏻

forms.gle/w7hStCqcJKCJ...
Brain-Imaging-Pipeline-Flexibility
This is a very short survey on how pipelines are chosen in neuroimaging
forms.gle
January 27, 2026 at 7:25 PM
Reposted by Harrison Ritz
Thanks to the Allen Institute for the write-up of our recent work! 👏

Paper is here: www.nature.com/articles/s41...
January 28, 2026 at 10:30 PM
Reposted by Harrison Ritz
Block that acetylcholine and just doesn't feel worth it any more...

Cholinergic modulation of dopamine release drives effortful behaviour
www.nature.com/articles/s41...
Cholinergic modulation of dopamine release drives effortful behaviour - Nature
In the nucleus accumbens, acetylcholine boosts dopamine release to promote effortful behaviour.
www.nature.com
January 28, 2026 at 9:28 PM
Reposted by Harrison Ritz
🚨 #CCN2026 Proceedings submissions are open!
CCN 2026 again features an 8-page Proceedings track (alongside extended abstracts). Accepted papers will appear in CCN-Proceedings (CCN‑P) with DOIs on OpenReview.
January 28, 2026 at 4:16 PM
never anova
New preprint by @semihaktepe.bsky.social 🎉

We compare ANOVA/SDT/GLMM for binary judgments in 20 datasets of the truth effect. #lme4

Main conclusion:
"GLMMs are a theoretically sound and practically robust method and thus superior for analyzing binary judgments in social and cognitive psychology.”
January 28, 2026 at 1:12 PM
Reposted by Harrison Ritz
Whether the system can be flexibly redirected to prioritize specific locations has been unclear. Using large-scale #Neuropixels recordings in freely behaving rats, we find that both sweeps – and the internal direction signals driving them – are dynamically modulated moment by moment. (4/6)
January 28, 2026 at 10:03 AM