sjgershm

mfit

Simple model-fitting tools

RL_DDM

Reinforcement learning + drift-diffusion modeling

RL-tutorial

Reinforcement learning tutorial

ccnl-fmri

fmri analysis tools

exploration

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

exploration_uncertainty

Analysis code for multi-armed bandit task

RL-models

Reinforcement learning model repository

GoNogo-control

Code and data for Bayesian analysis of Go/NoGo tasks

rational-discounting

Code and data for rational analysis of intertemporal choice

Hierarchical-groups

Hierarchical groups model

LCM

Latent cause model of associative learning

KF-learning

Kalman filter learning toolbox

reward-complexity

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

DBM

Deep Boltzmann Machine

gershmanlab

Functions for the Gershman Computational Cognitive Neuroscience lab at Harvard.

GoNoGo-neural

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

KTD

TDSR

Temporal difference successor representation

choice-confidence

Choice-confidence data and analysis

GoNoGo

Go-NoGo modeling code

LGM

Latent group model

SEM

Matlab code for Structured Event Memory model

GPH

Gaussian process hierarchical modeling

memory-modification

penumbra

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

sam1

Kalman Filter learning toolbox

truncated-tree

Truncated tree search model

habituation

Gaussian process model of habituation as optimal filtering

reward-complexity-sz

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

uncertainty-control

Code to accompany the paper "Mental control of uncertainty"