Guide to choosing a Neurons dataset#

July 5-23, 2021

Steinmetz#

The Steinmetz dataset (youtube) contains 39 Neuropixels recordings of 400-700 neurons each from across the mouse brain during a visual behavior task. This dataset was used by the most groups last year, as it is great for exploratory analyses and is relatively well supported with code and many included experimental and behavioral variables. You should still try to ask specific questions, i.e.: “does the superior colliculus offer a parallel or complementary visual processing pathway to visual cortex?”

Credit for data curation: Marius Pachitariu, Scott Linderman

Run

View

Main notebook

Open In Colab

View the notebook

LFP and waveform notebook

Open In Colab

View the notebook

References:#

Stringer#

The Stringer datasets (youtube) contain simultaneous recordings of 10,000 or 20,000 neurons from mouse visual cortex either during the presentation of gratings or during spontaneous behaviors like running, whisking and sniffing. These datasets are a little more advanced because you have to work with many neurons simultaneously. They are exciting, because they give a taste of what’s to come in neuroscience.

Credit for data curation: Marius Pachitariu

Run

View

Orientation stimuli + running

Open In Colab

View the notebook

High-dimensional spontaneous behaviors

Open In Colab

View the notebook

References:#

  • Stringer, C., Pachitariu, M., Steinmetz, N., Reddy, C. B., Carandini, M., and Harris, K. D. (2019). Spontaneous behaviors drive multidimensional, brainwide activity. Science, 364(6437): eaav7893. doi: 10.1126/science.aav7893

  • Stringer, C., Michaelos, M., Tsyboulski, D., Lindo, S. E., and Pachitariu, M. (2021). High-precision coding in visual cortex. Cell, 184(10): 2767-2778. doi: 10.1016/j.cell.2021.03.042

Allen Institute#

The Allen Institute dataset (youtube) is new this year, and it was designed to be very friendly for beginners. The mice do a visual change detection task using either familiar or novel images. The recordings are from specific neuron populations (Excitatory, VIP, and SST) in multiple visual cortical brain areas (V1 and LM). This dataset is well supported with code and a dedicated project template. This would provide a more focused experience for beginner groups than the Steinmetz dataset. For more advanced groups, a separate dataloader is available using the Allen Institute SDK, which gives access to the entire dataset for more exploratory analyses. You can learn more about the dataset and find additional description and helpful tools on Allen Brain Atlas and SWDB databook.

Credit for data curation: Marina Garret, Iryna Yavorska, Doug Ollerenshaw

Run

View

Analyze one dataset

Open In Colab

View the notebook

Access to all data

Open In Colab

View the notebook