aaron bornstein

@aaronbornstein@neuromatch.social
196 Followers
335 Following
144 Posts

assistant professor, cognitive sciences, uc irvine

http://aaron.bornstein.org

pronounshe/him

Worth calling out the white man defence;

“Nicholas Hammond, mitigating, told the judge Parlour was ‘not part of any sinister group activity designed to stir up violence’ and was ‘not affiliated with any group’.

In a letter to court, his mother said: ‘We can only speculate he’s been caught up and swept away by emotions circulating throughout the country’.”

Yeah, because everyone can get caught inciting violence and spreading hate just because it's going around, you know 🙄

https://www.theguardian.com/politics/article/2024/aug/09/two-men-jailed-for-social-media-posts-that-stirred-up-far-right-violence

523/ 🧵

#OrganisedAffiliatedFuckers
#DontPayTheGuardian
#UKriots

Two men jailed for social media posts that stirred up far-right violence

People who threw stones, hurled racist abuse and pushed a burning wheelie bin at police also sent to prison

The Guardian
Fri C86: Small differences can have big consequences. How are similar experiences distinguished in memory? Dale Zhou proposes that perceptual and semantic information is lossily compressed and efficiently coded to support pattern separation #CCN2024 (5/5)
Thu B37: Nora Harhen shows that developmental variation in inferring environmental structure can explain variation in exploration. Children and adolescents represent environments more simply than adults, leading to more extensive exploration #CCN2024 (4/5)
Tue A22: How do we figure out the unseen structure in our experiences? Jungsun Yoo extends a state of the art model of latent structure learning, improving its biological plausibility and efficient performance in benchmark tasks #CCN2024 (3/5)
Tue A4: Do adverse experiences lead to aversion to uncertainty? Yifei Chen shows that early-life-unpredictability, but not trauma exposure, affects how people plan under uncertainty in a foraging task #CCN2024 (2/5)
Excited about the lab's presentations at #CCN2024! See the below 🧵for a quick preview, and please do stop by and say hello! (1/5)

Coincidentally, the latest national data on higher education funding came out yesterday, showing, once again, that California public higher education is drastically underfunded. In 47th place for Total Education Revenue (read funding) per FTE.

https://shef.sheeo.org/report-2/?report_page=net-tuition-and-total-education-revenue#total-education-revenue

Now published in Behavior Research Methods with @nunezanalyzed, @joachim and Ramesh Srinivasan.

A tutorial on fitting models of M/EEG and behavior to understand cognition.

https://link.springer.com/article/10.3758/s13428-023-02331-x

A tutorial on fitting joint models of M/EEG and behavior to understand cognition - Behavior Research Methods

We present motivation and practical steps necessary to find parameter estimates of joint models of behavior and neural electrophysiological data. This tutorial is written for researchers wishing to build joint models of human behavior and scalp and intracranial electroencephalographic (EEG) or magnetoencephalographic (MEG) data, and more specifically those researchers who seek to understand human cognition. Although these techniques could easily be applied to animal models, the focus of this tutorial is on human participants. Joint modeling of M/EEG and behavior requires some knowledge of existing computational and cognitive theories, M/EEG artifact correction, M/EEG analysis techniques, cognitive modeling, and programming for statistical modeling implementation. This paper seeks to give an introduction to these techniques as they apply to estimating parameters from neurocognitive models of M/EEG and human behavior, and to evaluate model results and compare models. Due to our research and knowledge on the subject matter, our examples in this paper will focus on testing specific hypotheses in human decision-making theory. However, most of the motivation and discussion of this paper applies across many modeling procedures and applications. We provide Python (and linked R) code examples in the tutorial and appendix. Readers are encouraged to try the exercises at the end of the document.

SpringerLink

#Covid news from the UK: “During the COVID-19 pandemic it became apparent that neurological complications were occurring in a significant proportion of hospitalised patients & even in those with mild COVID-19 infection. While some neurological ‘symptoms’ were often mild (headache & muscle aches [myalgia]), it became clear that more significant & potentially life-changing new neurological ‘complications’ were occurring, including encephalitis (brain inflammation), seizures, & stroke.

“Our study shows that markers of #BrainInjury are present in the blood months after COVID-19, & particularly in those who have had a COVID-19-induced brain complication (e.g. #inflammation, or #stroke), despite resolution of the inflammatory response in the blood. This suggests the possibility of ongoing inflammation & injury inside the brain itself which may not be detected by blood tests for inflammation."
#health #medicine https://www.kcl.ac.uk/news/ongoing-brain-injury-covid-19-not-detected-by-routine-tests

Ongoing brain injury caused by COVID-19 may not always be detected by routine tests

A new study published recently in Nature Communications details that markers of brain injury are present in the blood many months after COVID-19 infection, despite inflammation blood tests being normal.

King's College London

📢​ Apply now for the 7-week #Mathematics #SummerSchool in London (@SWC_Neuro)!
You will develop mathematics skills/intuition necessary to enter the #TheoreticalNeuroscience or #MachineLearning field & have the opportunity to interact with our researchers.

ℹ️​ www.ucl.ac.uk/gatsby/study-and-work/gatsby-bridging-programme

Supported by Gatsby Charitable Foundation and UCL Faculty of Life Sciences