期刊
NEURON
卷 103, 期 2, 页码 292-+出版社
CELL PRESS
DOI: 10.1016/j.neuron.2019.05.003
关键词
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资金
- NIH NRSA grant [1F31NS089376-01]
- Stanford Graduate Fellowship
- NSF GRFP
- NSF IGERT grant [0734683, 1F31NS103409-01]
- NSF Graduate Research Fellowship
- Ric Weiland Stanford Graduate Fellowship
- Christopher and Dana Reeve Foundation
- Burroughs Wellcome Fund Career Awards in the Biomedical Sciences
- DARPA BTO REPAIR'' grant [N66001-10-C-2010]
- NeuroFAST'' award [W911NF-14-2-0013]
- NIH NINDS grant [T-R01NS076460]
- NIH NIMH grant [T-R01MH09964703]
- NIH Director's Pioneer Award [8DP1HD075623]
- Simons Foundation Collaboration on the Global Brain [325380, 543045]
- Howard Hughes Medical Institute
- Burroughs Wellcome foundation
- Sloan foundation
- Simons foundation
- McKnight foundation
- James S. McDonell foundation
- Office of Naval Research
A central goal of systems neuroscience is to relate an organism's neural activity to behavior. Neural population analyses often reduce the data dimensionality to focus on relevant activity patterns. A major hurdle to data analysis is spike sorting, and this problem is growing as the number of recorded neurons increases. Here, we investigate whether spike sorting is necessary to estimate neural population dynamics. The theory of random projections suggests that we can accurately estimate the geometry of low-dimensional manifolds from a small number of linear projections of the data. We recorded data using Neuropixels probes in motor cortex of nonhuman primates and reanalyzed data from three previous studies and found that neural dynamics and scientific conclusions are quite similar using multiunit threshold crossings rather than sorted neurons. This finding unlocks existing data for new analyses and informs the design and use of new electrode arrays for laboratory and clinical use.
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