lnalborczyk Goto Github PK
Name: Ladislas Nalborczyk
Type: User
Company: UNICOG, NeuroSpin, CEA
Bio: Postdoctoral researcher in cognitive neuroscience
Twitter: lnalborczyk
Location: Paris, France
Name: Ladislas Nalborczyk
Type: User
Company: UNICOG, NeuroSpin, CEA
Bio: Postdoctoral researcher in cognitive neuroscience
Twitter: lnalborczyk
Location: Paris, France
Materials for the paper "A fully automated, transparent, reproducible, and blind protocol for sequential analyses" (Beffara, Bret, & Nalborczyk, 2021).
Joint modelling of accuracy and reaction times using diffusion models
Efficient Sequential Testing with (Information Criteria and) Evidence Ratios
Workshop - Introduction to Bayesian statistical modelling
Introduction to deep learning in R and Python.
Formation doctorale d'introduction à la modélisation statistique bayésienne
Re-analysing the data from Moffatt et al. (2020): What can we learn from an under-powered absence of difference?
Slides available at https://tinyurl.com/introbayes2022.
MSc-level 1h introduction to the philosophy of statistics
Source code of my website
Open source tools for M/EEG multivariate pattern analyses (aka decoding)
Action Effects on Visual Perception of Distances: A Multilevel Bayesian Meta-Analysis
Models of Motor Inhibition during Motor Imagery
A simplistic model of motor inhibition during motor imagery
Perspective paper by Nalborczyk et al. (2022)
Materials for the paper "Interaction between orthographic and graphomotor constraints in learning to write" (Danna et al., 2022).
Available online: https://www.barelysignificant.com/phd_thesis/
Pragmatism should not be a substitute for statistical literacy, a commentary on Albers, Kiers, and van Ravenzwaaij (2018).
A list of resources for students, collaborators, and myself.
Various Shiny applications.
An interactive visualisation of the Wiener drift diffusion model
A shiny app to explore inner speech auditory percepts
Reanalysing the data from Nalborczyk et al. (2020, PLOS ONE) using deep neural networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.