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Very excited to have this officially published: A neural state space for episodic memories A brief thread... #neuroskyence #psychscisky #cognition 🧪 @cp-trendscognsci.bsky.social
Today's keynote speaker to highlight is Prof Klaus Oberauer! icom-memory.org #neuroskyence #psychscisky #cognition #ICOM2027 #philosophysky 🧪
1mo
29d
Episodic memories are highly dynamic and change in nonlinear ways over time. This dynamism is not captured by existing systems consolidation theories …
www.sciencedirect.com
A neural state space for episodic memories
We are very excited to officially announced that ICOM - The International Conference on Memory - is back in 2027 from 26th-30th July! icom-memory.org #neuroskyence #psychscisky #cognition 🧪
1mo
Postdoc position available at postlab.psych.wisc.edu. Pls send cv to [email protected]
4d
International Conference On Memory 26-30 July 2027 in Glasgow
International Conference On Memory 26-30 July 2027 in Glasgow
Tricky one to answer! I feel like I can't ever tell how my papers are received; they seem to be cited fairly. But I thought about my solo theory piece written as a postdoc – it felt like I was going out on a limb. I've wondered if that was appreciated, and whether the field thought I had a point!
@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...
Proud to share new fMRI work by the fabulous Or Yizhar (not on Bsky): on the manifold level(s) of abstraction of visual working memories in visual cortex. With a fantastic team, Fabio Bauer, Inés Pont Sanchis, and @hanzule.bsky.social, supported by @erc.europa.eu 
doi.org/10.64898/202...
New Publication Alert! 🚨 Along with @koberauer.bsky.social and @agnesrosner.bsky.social we investigated if eye movements are functional for memory retrieval in an associative recognition task and largely found evidence against it. Read more: link.springer.com/article/10.3... #workingmemory
19d
1mo
20d
1d
Our interests in human memory and cognition encompass the cognitive and neural basis of working memory, attention, control, and consciousness.News  Madison Symposium on Memory & Control. On 30 May 202...
postlab.psych.wisc.edu
PO-STL-AB
Aidan Horner
link.springer.com
The body of research on visual working memory (VWM)—the system often described as a limited memory store of visual information in service of ongoing tasks—is growing rapidly. The discovery of numerous...
link.springer.com
Mapping visual working memory models to a theoretical framework - Psychonomic Bulletin & Review
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
www.biorxiv.org
Brad Postle
Ruhi Bhanap
A new #bmm release is available on #CRAN. With this version, #bmm now covers basic response time models. This release contains three new models plus several usability features. Here's what's in it 🧵 venpopov.com/bmm/ #rstats #bayes #openscience
William Ngiam | 严祥全
Bernhard Spitzer
MarleneRoesner.bsky.social
8d
Finally out in Psychological Review (psycnet.apa.org/doi/10.1037/...), our update to Signal Detection Theory. We show that contrary to the prevailing Gaussian assumption, evidence distributions in recognition memory are likely minimum extreme Gumbel!
venpopov.com
1d
Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into brms syntax, a powerfu...
Easy and Accessible Bayesian Measurement Models Using brms
Henrik Singmann
Gidon Frischkorn
Honey, we fixed Signal Detection Theory (SDT)! In this preprint, Constantin Meyer-Grant, David Kellen, Sam Harding, and I critically evaluate the (unequal-variance) Gaussian SDT model in recognition memory and pursue the Gumbel-min model as a principled alternative: doi.org/10.31234/osf... 🧵
Apr 27, 2025
Signal Detection Theory has long served as a cornerstone of psychological research, particularly in recognition memory. Yet its conventional application hinges almost exclusively on the Gaussian…
Extreme-Value Signal Detection Theory for RecognitionMemory: The Parametric Road Not Taken
doi.org
Henrik Singmann