Pinned Repositories
bart
Task files for a continuous-time version of the balloon analogue risk task (BART)
bayesrl
Code to fit Bayesian versions of simple reinforcement learning models
duke-julia-ssri
Materials for SSRI's introduction to Julia.
julia-for-pythonistas
Materials for the Julia for Pythonistas tutorial at Pydata Carolinas 2016
laf
Implementation of locally adaptive factor processes
matlab-neurobio
Notes, assignments, and code for Quantitative Neurobiology (Spring 2018).
rlfit
Simple Matlab code to fit reinforcement learning models to choice data
VinDsl.jl
A fast and furious domain-specific language for variational inference in Julia.
jmxpearson's Repositories
jmxpearson/julia-for-pythonistas
Materials for the Julia for Pythonistas tutorial at Pydata Carolinas 2016
jmxpearson/VinDsl.jl
A fast and furious domain-specific language for variational inference in Julia.
jmxpearson/rlfit
Simple Matlab code to fit reinforcement learning models to choice data
jmxpearson/duke-julia-ssri
Materials for SSRI's introduction to Julia.
jmxpearson/bayesrl
Code to fit Bayesian versions of simple reinforcement learning models
jmxpearson/matlab-neurobio
Notes, assignments, and code for Quantitative Neurobiology (Spring 2018).
jmxpearson/laf
Implementation of locally adaptive factor processes
jmxpearson/DIBS_materials
Teaching materials for DIBS
jmxpearson/juliacon-2016-talk
Slides and code for my talk at JuliaCon 2016
jmxpearson/physutils
Python classes and functions for electrophysiology data, mostly spikes and LFP
jmxpearson/bart_analysis
Analysis code and figure generation for intracranial recording experiment using the balloon analogue risk task
jmxpearson/cfos_counts
Simple models of cfos count data.
jmxpearson/chang_et_al_2015
Models for Chang et al. 2015
jmxpearson/cogneuro_lectures
Lecture notes for the cogneuro graduate class.
jmxpearson/DiffableDistributions.jl
Render distributions from Distributions.jl compatible with forward mode automatic differentiation from ForwardDiff.jl
jmxpearson/distribution_diff_tests
Integration tests of ForwardDiff.jl and Distributions.jl
jmxpearson/Distributions.jl
A Julia package for probability distributions and associated functions.
jmxpearson/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
jmxpearson/GPflow
Gaussian processes in TensorFlow
jmxpearson/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
jmxpearson/hopfield-demo
Demonstration of Hopfield networks for DIBS Bootcamp 2020
jmxpearson/jmxpearson.github.io
John's web page
jmxpearson/julia
The Julia Language: A fresh approach to technical computing.
jmxpearson/METADATA.jl
Metadata for registered Julia packages.
jmxpearson/mscope
A microscopic in-browser viewer for electrophysiology data
jmxpearson/neural-data-analysis-book
jmxpearson/PDMats.jl
Uniform Interface for positive definite matrices of various structures
jmxpearson/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
jmxpearson/StatsFuns.jl
Mathematical functions related to statistics.
jmxpearson/vmftests
internal testing on vMF samplers