sjgershm Goto Github PK

ccnl-fmri

fmri analysis tools

choice-confidence

Choice-confidence data and analysis

complang

fmri analysis scripts for complang experiments

dbm

Deep Boltzmann Machine

exploration

Code and data for the paper "Deconstructing the human algorithms for exploration"

exploration_uncertainty

Analysis code for multi-armed bandit task

fmri

Analysis functions for fMRI data

gershmanlab

Functions for the Gershman Computational Cognitive Neuroscience lab at Harvard.

gonogo

Go-NoGo modeling code

gonogo-control

Code and data for Bayesian analysis of Go/NoGo tasks

gonogo-neural

Go-NoGo model-fitting and analysis of EEG and fMRI data

gph

Gaussian process hierarchical modeling

habituation

Gaussian process model of habituation as optimal filtering

hierarchical-groups

Hierarchical groups model

hierarchical_motion

kf-learning

Kalman filter learning toolbox

ktd

lcm

Latent cause model of associative learning

lgm

Latent group model

memory-modification

mfit

Simple model-fitting tools

pat

Photometry analysis tools

penumbra

Data and analysis code for "behavioral tagging and the penumbra of learning"

rational-discounting

Code and data for rational analysis of intertemporal choice

reward-complexity

code for reproducing analyses in "Origin of perseveration in the trade-off between reward and complexity"

reward-complexity-sz

Code and data for "The reward-complexity trade-off in schizophrenia"

rl-models

Reinforcement learning model repository

rl-tutorial

Reinforcement learning tutorial

rl_ddm

Reinforcement learning + drift-diffusion modeling

sam1

Kalman Filter learning toolbox