| Name | Description |
|---|---|
| nltools | Python toolbox for performing multivariate analysis of neuroimaging data |
| py-feat | Python toolbox for analyzing facial expression data |
| facesync | Python toolbox for synchronizing videos based on audio signals |
| neighbors | Python toolbox for performing collaborative filtering analysis |
| moth_app | A Flask, jsPsych, and psiturk web app for collecting ratings from videos on mTurk |
| pymedoc | Python package for wireless network triggering of Medoc Pathway Thermal Stimulation System |
| Preprocessing Tools | Tools used by cosanlab to preprocess neuroimaging data built using nipype |
| Singularity Container | A singularity container used by cosanlab for neuroimaging analys in HPC environments |
| SvelteTurk | A graphical desktop application for interacting with Amazon Mechanical Turk |
| Continuous Rater | Svelte App for collecting continuous ratings for videos or audio stimuli |
| Name | Description |
|---|---|
| Model Fitting | Fitting computational models using matlab |
| Sending TTL signals via USB | A tutorial on how to replace parallel port signaling with USB |
| DartBrains | This is a Dartmouth course that introduces the basics of neuroimaging data analysis using Python. |
| Naturalistic-Data | This resource provides tutorials for analyzing naturalistic neuroimaging data |
| MIND Summer School | Methods in Neuroscience at Dartmouth (MIND) annual computational summer school. |
| Name | Description |
|---|---|
| compsan | A project to share resources with computational social and affective neuroscience community |
| lineatkaf | Behavioral science project to provide real-time feedback of queue length at a cafe using computer vision and machine-learning. Developed in collaboration with Dali Lab and King Arthur Flour. |
| neuro-learn | A web app to train, test, and share multivariate models of brain activity that predict behavioral outcomes |
| askpbs | A community message board for the Department of Psychological and Brain Sciences at Dartmouth College |
