Yi-Shin Lin

A cognitive psychologist spending time in cognitive modeling and many other things. Check out my software projects at

[Yi-Shin Lin @YiShinLin1]

I gave a talk on Utility Maximization Model, visit https://t.co/2O0bWghUlU for the presentation slide and more.

[Yi-Shin Lin @YiShinLin1]

@hcp4715 @crblandet "the neural basis of cognitive functions, diagnosing and treating brain disorders, and brain-inspired computing." These three goals seem to have clear enough scientific significance in term of the scale of the project. For example, a GPU based software may do the third?

[Yi-Shin Lin @YiShinLin1]

免費參加里茲大學人因工程研究群的數學建模方法讀書會https://t.co/p83fzTUS4O

[Yi-Shin Lin @YiShinLin1]

Join our discussion on computational modelling. See more details at https://t.co/p83fzTUS4O

[simine vazire @siminevazire]

"I saw that even ppl w/ a lot of power felt their hands are tied. It really puts into perspective how brave & how much risk ECRs are taking when they stand up to the system. I wanted to help provide a community for ppl who are taking those risks bc I think it's so admirable"
-me

[Yi-Shin Lin @YiShinLin1]

https://t.co/O96Hu3SfxO
We develop a computational model basing on three simple cognitive principles, maximizing utility, discrete motor primitive, and sensory evidence accumulation to account for road user interactions. Find software and details in the preprint.

[Luke Strickland @lukejgstrick]

This is now published. If you're interested in how people use, and misuse, automated advice you should read it 🦾💪. We present a model of the underlying cognitive processes involved. https://t.co/IaTzWKHnvJ

[Yi-Shin Lin @YiShinLin1]

Enjoy the powerful statistical tools in R? Want to apply them in analysing EEG data. Matt Craddock's eegUtils is abwonderful R package that give the user the best of both worlds.

[Yi-Shin Lin @YiShinLin1]

The Practical Alternative to the p Value is a System Encouraging Good Scientific Practice

[Andrew Gelman et al. @StatModeling]

What’s the purpose of mathematical modeling? https://t.co/AfZCIbLdcS

[PsyArXiv-bot @PsyArXivBot]

Data visualisation using R, for researchers who don't use R

https://t.co/iHHBlhjSQS

[Yi-Shin Lin @YiShinLin1]

facetscale, flexibly allow each facet panels have their own scale limit and tick mark. https://t.co/wHTTBGYkrj

[Yi-Shin Lin @YiShinLin1]

Doing signal processing, pracma and signal are quite useful, https://t.co/ME7zxCEy14

[Yi-Shin Lin @YiShinLin1]

Struggling to find distinguishable and aesthetic colours to differentiate different conditions? Love the NZ birds https://t.co/ASRFGvnKPf

[Yi-Shin Lin @YiShinLin1]

A fantastic plotting tool https://t.co/E9Y4nGwtIC

[Richard McElreath 🐈‍⬛ @rlmcelreath]

Ever get that feeling your model may be either severely ill-conditioned or misspecified?

Been one of those days. If you're head-desking, know you're not alone.

[Yi-Shin Lin @YiShinLin1]

Watch for your prior. Uninformative is also a belief.

[Yi-Shin Lin @YiShinLin1]

Anticipation responses , RT < 50 ms, defeat smart samplers.

[Michael C. Frank @mcxfrank]

Sequential Bayes Factor designs in developmental research: Studies on early word learning - very exciting new paper by @nivedita_mani and colleagues showing how we can maximize the efficiency of developmental work (plus three nice replication studies!)

https://t.co/tOuE1xoaP0

[Matt Dowle @MattDowle]

My rebuttal #rdatatable