Pinned Repositories
DataSciencePsychNeuro
Repository for the Data Science for Psychology and Neuroscience course at CMU (Verstynen)
2013WilsonEtAlPLoSCB
Code to implement model from Wilson, R. C., Nassar, M. R., & Gold, J. I. (2013). A Delta-rule approximation to Bayesian inference in change-point problems. PLoS Computational Biology, 9(7), e1003150
cog_neuro_methods
For Cognitive Neuroscience Research Methods (Spring 2023; 85-314)
competing-representations-shape-evidence-accumulation
Human and sim. behavioral / small-scale neural data for paper: https://www.biorxiv.org/content/10.1101/2022.10.03.510668v2
dynamic_decision_policy_reconfiguration
Data, analyses, and visualizations for paper: https://elifesciences.org/articles/65540#content
loki_0
Experimental parameter generation, cognitive model simulation, raw behavioral data, & analysis for the first iteration of Loki.
loki_1
BG network responses to conflict and volatility + perceptual learning of hierarchical classes.
metaloki
Latent graphs (reward landscapes). Can humans learn them? How?
prisma_luminance_data
An archive of historical luminance data for the Prisma BOLD screen affiliated with the Carnegie Mellon University Brain Imaging Data Generation & Education (BRIDGE) Center.
pupil_parse
A package for preprocessing pupil data.
kalexandriabond's Repositories
kalexandriabond/dynamic_decision_policy_reconfiguration
Data, analyses, and visualizations for paper: https://elifesciences.org/articles/65540#content
kalexandriabond/loki_1
BG network responses to conflict and volatility + perceptual learning of hierarchical classes.
kalexandriabond/competing-representations-shape-evidence-accumulation
Human and sim. behavioral / small-scale neural data for paper: https://www.biorxiv.org/content/10.1101/2022.10.03.510668v2
kalexandriabond/BiologicallyIntelligentExploration
The repository for the CMU class Biologically Intelligent eXploration (BIX).
kalexandriabond/cog_neuro_methods
For Cognitive Neuroscience Research Methods (Spring 2023; 85-314)
kalexandriabond/metaloki
Latent graphs (reward landscapes). Can humans learn them? How?
kalexandriabond/balance
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
kalexandriabond/bap-questionnaire
Take the Broad Autism Phenotype Questionnaire
kalexandriabond/Darwin-Typeface
This is the project repository for Darwin, a typeface for books and articles, with a focus on scientific writing.
kalexandriabond/diffusive_bandit
kalexandriabond/explorations-book
Exploration explorables.
kalexandriabond/flametree
Generative artwork that looks a bit like trees
kalexandriabond/ismyblue
Is my blue your blue?
kalexandriabond/joss
The Journal of Open Source Software
kalexandriabond/kalexandriabond.github.io
Personal site
kalexandriabond/MRIcroGL
v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.
kalexandriabond/my-nipype-pipelines
Some pipelines implemented with nipype.
kalexandriabond/my-scikit-tools
A package with several scikit-learn tools that I often use
kalexandriabond/nblauch.github.io
Personal website, forked from mmistakes/minimal-mistakes
kalexandriabond/NiBetaSeries
Nipype implementation of BetaSeries Correlations (Beta)
kalexandriabond/nilearn
Machine learning for NeuroImaging in Python
kalexandriabond/onlineFDR
Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.
kalexandriabond/predictive_templates
Data and Code for "Predictive templates in perception"
kalexandriabond/pycombat
Python implementation of Combat for data harmonisation, allowing also to remove unwanted effects
kalexandriabond/PyDDM
A drift-diffusion modeling (DDM) framework for Python
kalexandriabond/spiketools
Tools for analyzing spiking data.
kalexandriabond/starter-hugo-academic
kalexandriabond/tutorial-bayesian-inference
A collection of simple implementation of various inference methods
kalexandriabond/VulcanAI
A high level deep learning framework for quickly prototyping networks with added tools in data visualisation, model interpretability and performance metrics
kalexandriabond/whisper
Robust Speech Recognition via Large-Scale Weak Supervision