kalexandriabond Goto Github PK

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

abbas

Animal behavior based on agents simulation

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.

bap-questionnaire

Take the Broad Autism Phenotype Questionnaire

biologicallyintelligentexploration

The repository for the CMU class Biologically Intelligent eXploration (BIX).

bond_dspn_s18

coax_website

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

datasciencepsychneuro_cmu85732

Repository for the Data Science for Psychology and Neuroscience course at CMU (Verstynen)

ddm_sims

Simualting decision making data and parameter recovery

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffusive_bandit

dissertate

Beautiful LaTeX dissertation templates.

dynamic_decision_policy_reconfiguration

Data, analyses, and visualizations for paper: https://elifesciences.org/articles/65540#content

explorations-book

Exploration explorables.

exploring_bees

Exploring open source bee data.

flametree

Generative artwork that looks a bit like trees

fmri-resources

A page of information and resources on functional MRI. Suggestions welcome!

glmdenoise

graph_nets

Build Graph Nets in Tensorflow

imt_manuscript

code for generating the results and plots of the IMT manuscript

kalexandriabond.github.io

Personal site

kmbond.github.io

learning_variability

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?

modsimpy

Text and supporting code for Modeling and Simulation in Python

modular-rl

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"