computingnature, to random
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Make your next discovery using , a visualization method for large-scale neural data in . Paper now out: https://www.biorxiv.org/content/10.1101/2023.07.25.550571v1 (CLICK ON THE GIF)

gif of neural activity re-sorted by Rastermap algorithm

computingnature,
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You can explore your data in the graphical user interface:

Rastermap graphical user interface to explore data

computingnature,
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finds single-trial sequences of neural activity in a virtual reality experiment:

computingnature,
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finds movement-related structure in spontaneous activity in complete darkness:

computingnature,
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sorting of data from Grosmark & Buzsaki, 2016:

computingnature,
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sorting of wholebrain activity from Chen et al, 2018:

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sorting of neurons from agents playing Atari games:

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Learn more on our github: https://github.com/MouseLand/rastermap. is fast thanks to , , , and -learn. The GUI is powered by and , and supports npz, npy, mat and ophys files.

computingnature,
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Excited to see new datasets explored with this! If you have issues, please post an issue on the github: https://github.com/MouseLand/rastermap/issues.

manisha,
@manisha@neuromatch.social avatar

wow, this happened within a day of announcing this project! thank you for sharing this @kevinbolding

Congratulations and thank you @computingnature for sharing both the source code for and previous

So stoked and look forward to this becoming the norm where scientists don't have to keep reinventing the wheel in their own labs

@academicchatter @academicsunite

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