Evidence map›Paper›PMID 31786013›Full record

ArticleNeuron2020

Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping.

Alex H Williams, Ben Poole, Niru Maheswaranathan, Ashesh K Dhawale, Tucker Fisher, Christopher D Wilson, David H Brann, Eric M Trautmann, Stephen Ryu, Roman Shusterman and 4 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Striatal Dopamine at Learned Sequence Boundaries Sustains Birdsong.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Longitudinal study of gesture decoding in a clinical trial participant with ALS.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Alex H WilliamsNeuroscience Program, Stanford University, Stanford, CA 94305, USA. Electronic address: ahwillia@stanford.edu.
Ben PooleGoogle Brain, Google Inc., Mountain View, CA 94043, USA.
Niru MaheswaranathanGoogle Brain, Google Inc., Mountain View, CA 94043, USA.
Ashesh K DhawaleDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Tucker FisherNeuroscience Program, Stanford University, Stanford, CA 94305, USA.
Christopher D WilsonNeuroscience Institute, New York University School of Medicine, New York, NY 10016, USA.
David H BrannDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Eric M TrautmannNeuroscience Program, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Stephen RyuElectrical Engineering Department, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Palo Alto Medical Foundation, Palo Alto, CA 94301, USA.
Roman ShustermanInstitute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
Dmitry RinbergNeuroscience Institute, New York University School of Medicine, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10016, USA.
Bence P ÖlveczkyDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Krishna V ShenoyNeurobiology Department, Stanford University, Stanford, CA 94305, USA; Electrical Engineering Department, Stanford University, Stanford, CA 94305, USA; Bioengineering Department, Stanford University, Stanford, CA 94305, USA; Bio-X Program, Stanford University, Stanford, CA 94305, USA; Wu Tsai Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Surya GanguliApplied Physics Department, Stanford University, Stanford, CA 94305, USA; Neurobiology Department, Stanford University, Stanford, CA 94305, USA; Electrical Engineering Department, Stanford University, Stanford, CA 94305, USA; Bio-X Program, Stanford University, Stanford, CA 94305, USA; Wu Tsai Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Google Brain, Google Inc., Mountain View, CA 94043, USA. Electronic address: sganguli@stanford.edu.

Funding

Fully Implantable and Programmable Spike-based Codecs for NeuroprostheticsR01NS076460 · NINDS · STANFORD UNIVERSITY · PI BOAHEN, KWABENA · 2011 to 2015
$4.4M
Neural Circuits Underlying the Acquisition and Control of Motor SkillsR01NS099323 · NINDS · HARVARD UNIVERSITY · PI Bence P Olveczky · 2016 to 2026
$3.9M
CRCNS: Sparse odor coding in the olfactory bulbR01DC014366 · NIDCD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KOULAKOV, ALEXEI, RINBERG, DMITRY · 2014 to 2018
$1.8M
Coding primitives in early olfactory processing - Resubmission - 1R01DC013797 · NIDCD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RINBERG, DMITRY · 2015 to 2019
$1.8M
Toward an Animal Model of Freely Moving HumanDP1HD075623 · NICHD · STANFORD UNIVERSITY · PI SHENOY, KRISHNA V · 2012 to 2013
$1.6M
Optimal Feedback Control Mechanisms in Motor PreparationF31NS089376 · NINDS · STANFORD UNIVERSITY · PI TRAUTMANN, ERIC · 2014 to 2016
$102k
NICHD NIH HHS DP1 HD075623NIDCD NIH HHS R01 DC013797NIDCD NIH HHS R01 DC014366NINDS NIH HHS F31 NS089376NINDS NIH HHS R01 NS076460NINDS NIH HHS R01 NS099323
6 · The paper itself

Abstract

Though the temporal precision of neural computation has been studied intensively, a data-driven determination of this precision remains a fundamental challenge. Reproducible spike patterns may be obscured on single trials by uncontrolled temporal variability in behavior and cognition and may not be time locked to measurable signatures in behavior or local field potentials (LFP). To overcome these challenges, we describe a general-purpose time warping framework that reveals precise spike-time patterns in an unsupervised manner, even when these patterns are decoupled from behavior or are temporally stretched across single trials. We demonstrate this method across diverse systems: cued reaching in nonhuman primates, motor sequence production in rats, and olfaction in mice. This approach flexibly uncovers diverse dynamical firing patterns, including pulsatile responses to behavioral events, LFP-aligned oscillatory spiking, and even unanticipated patterns, such as 7 Hz oscillations in rat motor cortex that are not time locked to measured behaviors or LFP.

Indexed as

Action PotentialsAmyloid beta-Protein PrecursorAnimalsGene Knock-In TechniquesMacaca mulattaMaleMiceMice, TransgenicMicroinjectionsMotor CortexNeuronsPattern Recognition, AutomatedPeptide FragmentsPrimary Cell CultureProteinsRatsAmyloid beta-Protein Precursoramyloid beta-protein precursor 695 (681-695)familial Alzheimer's disease protein 1Peptide FragmentsProteinsExploratory Data AnalysisNeural OscillationsPopulation DynamicsSpike Train AnalysisStatisticsTime WarpingUnsupervised Learning

Identifiers

PMID31786013
PMCPMC7336835

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.