Evidence map›Paper›PMID 18093826›Full record

ReviewCurrent opinion in neurobiology2007

Techniques for extracting single-trial activity patterns from large-scale neural recordings.

Mark M Churchland, Byron M Yu, Maneesh Sahani, Krishna V Shenoy

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

  1. The Importance of Synchrony in the Neural Control of Movement.bioRxiv : the preprint server for biology · 2026
    Article
  2. Motor cortex flexibly deploys a high-dimensional repertoire of subskills.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Mixed Representations of Sound and Action in the Auditory Midbrain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. Review
  7. Preparatory activity and the expansive null-space.Nature reviews. Neuroscience · 2024
    Review
  8. Mixed representations of sound and action in the auditory midbrain.bioRxiv : the preprint server for biology · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Cortical Control of Virtual Self-Motion Using Task-Specific Subspaces.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  13. Statistical neuroscience in the single trial limit.Current opinion in neurobiology · 2021
    Review
  14. Article
  15. Monosynaptic inference via finely-timed spikes.Journal of computational neuroscience · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mark M ChurchlandNeurosciences Program and Department of Electrical Engineering, Stanford University, CISX, 330 Serra Mall, Stanford, CA 94305-4075, United States. church@stanford.edu
Byron M Yu
Maneesh Sahani
Krishna V Shenoy

Funding

CRCNS: Extracting Dynamical Structure Embedded in Motor Preparatory ActivityR01NS054283 · NINDS · STANFORD UNIVERSITY · PI SHENOY, KRISHNA V · 2005 to 2009
$1.7M
NINDS NIH HHS 5-R01-NS054283-02NINDS NIH HHS R01 NS054283
6 · The paper itself

Abstract

Large, chronically implanted arrays of microelectrodes are an increasingly common tool for recording from primate cortex and can provide extracellular recordings from many (order of 100) neurons. While the desire for cortically based motor prostheses has helped drive their development, such arrays also offer great potential to advance basic neuroscience research. Here we discuss the utility of array recording for the study of neural dynamics. Neural activity often has dynamics beyond that driven directly by the stimulus. While governed by those dynamics, neural responses may nevertheless unfold differently for nominally identical trials, rendering many traditional analysis methods ineffective. We review recent studies - some employing simultaneous recording, some not - indicating that such variability is indeed present both during movement generation and during the preceding premotor computations. In such cases, large-scale simultaneous recordings have the potential to provide an unprecedented view of neural dynamics at the level of single trials. However, this enterprise will depend not only on techniques for simultaneous recording but also on the use and further development of analysis techniques that can appropriately reduce the dimensionality of the data, and allow visualization of single-trial neural behavior.

Indexed as

Action PotentialsAnimalsCerebral CortexElectrodes, ImplantedHumansNerve NetNeuronsNeurophysiology

Identifiers

PMID18093826
PMCPMC2238690

What OpenQuestion holds

Textmetadata
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.