|
| 1 | +# Guide to choosing a Behavior dataset |
| 2 | + |
| 3 | +*July 5-23, 2021* |
| 4 | + |
| 5 | +Everyone should consider the behavior-only datasets that we have, which are very rich with many subjects and many trials. |
| 6 | + |
| 7 | +## Caltech |
| 8 | + |
| 9 | +The Caltech dataset ([youtube](https://youtube.com/watch?v=tDmhmasjPeM)) has pose-tracking data from socially-interacting mice, and is well supported with code and a project template. |
| 10 | + |
| 11 | +Credit for data curation: Ann Kennedy |
| 12 | + |
| 13 | +| | Run | View | |
| 14 | +| - | --- | ---- | |
| 15 | +| Loader notebook | [](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/Loading_CalMS21_data.ipynb) | [](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/Loading_CalMS21_data.ipynb?flush_cache=true) | |
| 16 | + |
| 17 | +## IBL |
| 18 | + |
| 19 | +The IBL dataset ([youtube](https://youtube.com/watch?v=NofrFH8FRZU)) is a visual decision-making task, that is very similar to the one used in the Steinmetz dataset. |
| 20 | + |
| 21 | +Credit for data curation: Eric DeWitt and the IBL team |
| 22 | + |
| 23 | +This notebook is currently available: |
| 24 | + |
| 25 | +| | Run | View | |
| 26 | +| - | --- | ---- | |
| 27 | +| Psychometric notebook | [](https://colab.research.google.com/drive/14OtLUEiyhrPTPsXetg8VQrTk1CLhBCW5) | | |
| 28 | + |
| 29 | +These will be available next week: |
| 30 | + |
| 31 | +| | Run | View | |
| 32 | +| - | --- | ---- | |
| 33 | +| Exploration notebook | [](https://colab.research.google.com/github/int-brain-lab/nma-ibl/blob/master/01-Explore%20IBL%20behavior%20data%20pipeline.ipynb) | [](https://nbviewer.jupyter.org/github/int-brain-lab/nma-ibl/blob/master/01-Explore%20IBL%20behavior%20data%20pipeline.ipynb?flush_cache=true) | |
| 34 | +| Psychometric notebook | [](https://colab.research.google.com/github/int-brain-lab/nma-ibl/blob/master/02-Plot%20Psychometric%20curve.ipynb) | [](https://nbviewer.jupyter.org/github/int-brain-lab/nma-ibl/blob/master/02-Plot%20Psychometric%20curve.ipynb?flush_cache=true) | |
| 35 | +| Additional analyses | [](https://colab.research.google.com/github/int-brain-lab/nma-ibl/blob/master/03-Replication%20of%20paper%20figures.ipynb) | [](https://nbviewer.jupyter.org/github/int-brain-lab/nma-ibl/blob/master/03-Replication%20of%20paper%20figures.ipynb?flush_cache=true) | |
| 36 | + |
| 37 | +## Laquitaine & Gardner, Neuron, 2017 |
| 38 | + |
| 39 | +The Laquitaine & Gardner dataset contains behavioral data collected in a motion direction estimation task performed by 12 human subjects. The data include motion direction estimates, reaction times and various task variables recorded for 83,214 trials. The authors varied the strength of sensory evidence (motion coherence) and priors (set of directions) and compared the trial-estimate distribution with the predictions of Bayesian observer models. |
| 40 | + |
| 41 | +| | Run | View | |
| 42 | +| - | --- | ---- | |
| 43 | +| Loader & Exploration notebook | [](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_human_errors.ipynb) | [](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_human_errors.ipynb) | |
| 44 | +| Additional analyses | [](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_motion_prior_learning.ipynb) | [](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_motion_prior_learning.ipynb) | |
| 45 | + |
| 46 | + |
1 | 47 | # Guide to choosing a Theory project |
2 | 48 |
|
3 | 49 | *July 5-23, 2021* |
@@ -44,4 +90,4 @@ Here is a list of cool databases you might want to use to look for existing mode |
44 | 90 | | [figshare](https://figshare.com/) | A database of everything research related that's openly shared | |
45 | 91 | | [Google Dataset search](https://datasetsearch.research.google.com/) | Lets you do a Google search specifically to find datasets | |
46 | 92 | | [NeuroVault](https://neurovault.org/) | A public repository of unthresholded statistical maps, parcellations, and atlases of the brain. (MRI and PET) | |
47 | | -| [KnowledgeSpace](https://knowledge-space.org/) | A globally-used, community-based, data-driven encyclopedia for neuroscience that links brain research concepts to data, models, and the literature that support them. | |
| 93 | +| [KnowledgeSpace](https://knowledge-space.org/) | A globally-used, community-based, data-driven encyclopedia for neuroscience that links brain research concepts to data, models, and the literature that support them. | |
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