Accurate Estimation of Neural Population Dynamics without Spike Sorting
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Abstract
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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Threshold crossing rates and spike band power are estimates of local spiking activity and have been shown to be comparable to sorted single unit activity in terms of decoding performance and neural population structure.
“Threshold crossing rates and spike band power are estimates of local spiking activity and have been shown to be comparable to sorted single unit activity in terms of decoding performance and neural population structure79–81.”
From Inner speech in motor cortex and implications for speech neuroprostheses (2025) · cites this paper as [79]
The Results (Study 2) show that threshold crossings preserved neural population structure relative to sorted units, and the Results (Building intuition through a toy example) report high decoding accuracy from multi-unit channels. The paper does not establish a decoding-performance comparison with sorted units or test spike-band power; the Discussion (Implications for neural sensor design) calls analogous analyses of high-gamma features a question for future work. Page numbers are unavailable in our copy. (LLM, conf=0.88)
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- Authors
- Trautmann, E. M., Stavisky, S. D., Lahiri, S., Ames, K. C., Kaufman, M. T., O’Shea, D. J., Vyas, S., Sun, X., Ryu, S. I., Ganguli, S., & Shenoy, K. V.
- Affiliations
- Howard Hughes Medical Institute (US)
- Stanford Medicine (US)
- Stanford University (US)
- Columbia University (US)
- University of Chicago (US)
- Palo Alto Medical Foundation (US)
- Corresponding author
- Trautmann, Eric M.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 103
- Issue
- 2
- Pages
- 292-308.e4
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC7002296
- OpenAlex
- W2949218890
- Cited by
- 255
- References
- 9
- Citations by year
- 2026: 20 · 2025: 37 · 2024: 30 · 2023: 38 · 2022: 33 · 2021: 43 · 2020: 40 · 2019: 10 · 2018: 4
- FWCI
- 18.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Defense Advanced Research Projects Agency
- National Institute of Child Health and Human Development
- National Institute of Mental Health
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Undergraduate Neuroscience Education and Research
- Keywords
- neural population dynamics, spike sorting, random projections, motor cortex, Neuropixels, non-human primates, electrode array design
- MeSH terms
- Action Potentials, Algorithms, Animals, Computer Simulation, Macaca mulatta, Male, Models, Neurological, Motor Cortex, Neurons, Nonlinear Dynamics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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