Name: Shawn Rhoads
Type: User
Company: Icahn School of Medicine at Mount Sinai
Bio: Postdoctoral research fellow conducting human š§ research on social perception, learning, decision-making, & well-being
Twitter: shawnrhoadsphd
Blog: shawnrhoads.github.io
Shawn Rhoads's Projects
Short Python code snippets for all your development needs
GitHub Actions for GitHub Pages š Deploy static files and publish your site easily. Static-Site-Generators-friendly.
Code, spreadsheet and demo data to adjust fixed, random and mixed effects fMRI meta-analysis to account for variable dropout across studies.
Python interface for generating coordinate tables and region labels from statistical MRI images
Bayesian Data Analysis demos for Python
A Jupyter Book of everything Brainhack: past, present and future.
Tutorials that cover topics from basics to advanced fMRI analysis
Making large AI models cheaper, faster and more accessible
Code for our entry into the 2022 CompSAN Data Competetion
A library for generative social simulation
Exercise for Advanced git tutorial
Implementation of Dyadic Representational Similarity Analysis
GUI-based MATLAB software for optimizing the design of fMRI tasks
You can use the materials in this GitHub repository to host code and visualizations for your research projects!
Focus on prompting and generating
A minimal example for running Github Pages with the minima theme.
:zap: Dynamically generated stats for your github readmes
Brainhack Global 2020
GU Methods Lab Website
This repository contains tutorials to supplement Dr. Max Riesenhuber's NSCI 526: Computational Neuroscience course
Jupyter Book for PSYC 347-01 (Computational Models of Human Social Behavior and Neuroscience) - Instructor: Shawn A Rhoads
š gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
This repo contains a growing collection of resources for researchers interested in learning Python for psychological science and neuroscience
Intersubject correlation tutorial
Notes for Methods for fMRI (PSY 394U), Fall 2019
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