
Atika I. Syeda
@Atika_Ibrahim
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RT @behrenstimb: The unparalleled XJ Wang has written a book about the computations underlying cognition. I read a draft version and it iā¦.
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RT @computingnature: š¢ #Rastermap paper out now, easily explore and visualize your neural recordings ššš and ANNs š¤ .
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RT @HHMIJanelia: Atika Syeda (@Atika_Ibrahim) is a graduate scholar in the Stringer (@computingnature) & Pachitariu (@marius10p) labs @hhmiā¦.
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RT @srinituraga: How useful is a connectome? We show that you can predict quite a bit about the neural activity of a circuit from just measā¦.
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RT @marius10p: The Kilosort4 paper is now published @naturemethods. We put a lot of work into building and properly documenting all thingsā¦.
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RT @computingnature: Spike sorting with #Kilosort in #python w/ #pytorch + @pyqtgraph !.>>> pip install kilosort[gui]. To learn more, checkā¦.
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RT @computingnature: #Cellpose 3! Not all images are perfect. Restore your images with Cellpose3 to get better segmentations, w/ @marius10pā¦.
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RT @naturemethods: Research Highlight by Nina Vogt: Can one read the mind of a mouse? Not quite, but Facemap from Stringer (@computingnaturā¦.
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RT @jhmi_gsa: Please join the GSA is congratulating @Atika_Ibrahim for winning the January Student Spotlight! Well deserved! Read more abouā¦.
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RT @NatureNeuro: Facemap: a framework for modeling neural activity based on orofacial tracking. New from @computingnature and colleagues. hā¦.
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RT @HHMIJanelia: Facemap, a new tool developed by @Atika_Ibrahim, @computingnature, @marius10p, Lin Zhong, @TungRenee & Will Long, uses a mā¦.
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RT @computingnature: Make your next discovery using #Rastermap, a visualization method for large-scale neural data. Paper now out, w/ @mariā¦.
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RT @JTRobinsonLab: Before we all start dissecting the neuralink show and tell tomorrow I wanted to share some of the other neurotech startuā¦.
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š£ Preprint alert šØ.Excited to share āFacemap: a framework for modeling neural activity based on orofacial trackingā. #facemap See summary belowš§µš§µš§µ:
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RT @computingnature: Cellpose 2 paper š¦ š¤ is out now: Train your own models in <1h in the GUI. For an overview, seeā¦.
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