sjgershm
Professor, Department of Psychology and Center for Brain Science, Harvard University
Harvard UniversityCambridge, MA
Pinned Repositories
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
GoNogo-control
Code and data for Bayesian analysis of Go/NoGo tasks
LCM
Latent cause model of associative learning
mfit
Simple model-fitting tools
RL-models
Reinforcement learning model repository
RL-tutorial
Reinforcement learning tutorial
RL_DDM
Reinforcement learning + drift-diffusion modeling
tlsa_matlab
Matlab code for Topographic Latent Source Analysis of brain imaging data
sjgershm's Repositories
sjgershm/mfit
Simple model-fitting tools
sjgershm/RL_DDM
Reinforcement learning + drift-diffusion modeling
sjgershm/RL-tutorial
Reinforcement learning tutorial
sjgershm/ccnl-fmri
fmri analysis tools
sjgershm/exploration
Code and data for the paper "Deconstructing the human algorithms for exploration"
sjgershm/exploration_uncertainty
Analysis code for multi-armed bandit task
sjgershm/RL-models
Reinforcement learning model repository
sjgershm/GoNogo-control
Code and data for Bayesian analysis of Go/NoGo tasks
sjgershm/LCM
Latent cause model of associative learning
sjgershm/rational-discounting
Code and data for rational analysis of intertemporal choice
sjgershm/Hierarchical-groups
Hierarchical groups model
sjgershm/KF-learning
Kalman filter learning toolbox
sjgershm/reward-complexity
code for reproducing analyses in "Origin of perseveration in the trade-off between reward and complexity"
sjgershm/TDSR
Temporal difference successor representation
sjgershm/DBM
Deep Boltzmann Machine
sjgershm/gershmanlab
Functions for the Gershman Computational Cognitive Neuroscience lab at Harvard.
sjgershm/GoNoGo-neural
Go-NoGo model-fitting and analysis of EEG and fMRI data
sjgershm/KTD
sjgershm/choice-confidence
Choice-confidence data and analysis
sjgershm/GoNoGo
Go-NoGo modeling code
sjgershm/habituation
Gaussian process model of habituation as optimal filtering
sjgershm/LGM
Latent group model
sjgershm/GPH
Gaussian process hierarchical modeling
sjgershm/memory-modification
sjgershm/penumbra
Data and analysis code for "behavioral tagging and the penumbra of learning"
sjgershm/sam1
Kalman Filter learning toolbox
sjgershm/dopamine-complexity
Data and code for analyzing policy compression in dopamine neuron activity
sjgershm/rate_estimation
Online Bayesian Rate Estimation Theory
sjgershm/reward-complexity-sz
Code and data for "The reward-complexity trade-off in schizophrenia"
sjgershm/uncertainty-control
Code to accompany the paper "Mental control of uncertainty"