Name: Gonzalo García-Castro
Type: User
Company: Universitat Pompeu Fabra
Bio: Developmental psycholinguistics, cognitive science, Bayesian stats, R.
Twitter: gongcastro
Location: Barcelona, Spain
Blog: gongcastro.github.io
Gonzalo García-Castro's Projects
Tutorial on Linear Mixed Models presented in a seminar in my research group on March 31st, 2020.
Presentation at the SAP groups about the [Trajectories](https://github.com/gongcastro/trajectories) paper.
Acoustic distance measure for comparing pronunciations
Código, materiales y documentos del poster sobre curvas de adquisición de palabras presentado en AEMCCO 2022.
Animated distributios in Julia using the Distributions.jl package. For illustrational purposes.
A Julia package to generate GIFs illustration probabilitistic distributions under different parameterisations.
A quarto extension for creating APA7 documents in .docx, .html, and .pdf formats
Code for YouTube series: Deep Learning for Audio Classification
A Shiny App to interact with the database of the Laboratori de Recerca en Infància
Some dataviz, animations or code snippets to understand Bayesian statistics.
A slider control for Bootstrap 3.
Development package for the Barcelona Vocabulary Questonnaire (BVQ)
Shiny App for the Barcelona Vocabulary Questionnaire (BVQ).
Development functions for the Barcelona Vocabulary Questionnaire (BVQ).
Python port for the Barcelona Vocabulary Questionnaire (BVQ)
Slides for the presentation at CBCD.
A repository for the "Cognate beginnings to bilingual lexical acquisition" study
Phonological priming paradigm in Spanish-English and Spanish-Catalan toddlers, controlling the cognate status of the prime.
Paquete de R para interactuar con la base de datos de las puntuaciones de las Catas de Expertos de El Comidista.
Materiales del póster presentado en la II Conferencia de R: Investigating early language acquisition with R: A reproducible workflow with formR, Shiny and Stan.
Minimal implementation of Contrastive Predictive Coding for audio.
Curriculum Vitae
Audio classification using Tensorflow
Building a diphone classifiyier in Julia using Flux.jl.
Personal settings and themes for programming and other tasks.
We explored whether experience with the Head-turn Preference Procedure affects direction of preference in infant studies.
Reproduction of Luke et al. (2021) fNIRS analyses for educational purposes.
Simulating the fNIRS signal for a block design.