Evidence map›Paper›PMID 26152865›Full record

ReviewNature reviews. Neuroscience2015

From the neuron doctrine to neural networks.

Rafael Yuste

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers.

0numbers the graph read from it
0cells of the map it votes in
313citing 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

313 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. A Community Standard Multispecies Cell Atlas of the Basal Ganglia.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Timing and Convergence of Ensemble Activity Govern Auditory Thalamocortical Transmission.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  17. Article
  18. Quantifying emergent complexity.Patterns (New York, N.Y.) · 2026
    Article
  19. Article
  20. Editorial: Reviews in non-neuronal cells 2024 & 2025.Frontiers in cellular neuroscience · 2026
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Rafael YusteNeurotechnology Center and Kavli Institute of Brain Sciences, Departments of Biological Sciences and Neuroscience, Columbia University, New York, New York 10027, USA.

Funding

IMAGING FUNCTIONAL CONNECTIVITY IN VISUAL CORTEXR01EY011787 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YUSTE, RAFAEL · 1998 to 2021
$6.4M
Functional connectomics of the neocortical microcircuitDP1EY024503 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YUSTE, RAFAEL · 2013 to 2017
$4.0M
NCCDPHP CDC HHS DP1EY024503NEI NIH HHS DP1 EY024503NEI NIH HHS R01 EY011787
6 · The paper itself

Abstract

For over a century, the neuron doctrine--which states that the neuron is the structural and functional unit of the nervous system--has provided a conceptual foundation for neuroscience. This viewpoint reflects its origins in a time when the use of single-neuron anatomical and physiological techniques was prominent. However, newer multineuronal recording methods have revealed that ensembles of neurons, rather than individual cells, can form physiological units and generate emergent functional properties and states. As a new paradigm for neuroscience, neural network models have the potential to incorporate knowledge acquired with single-neuron approaches to help us understand how emergent functional states generate behaviour, cognition and mental disease.

Indexed as

Models, NeurologicalAnimalsBrainHumansNerve NetNeuronsNeurosciences

Identifiers

PMID26152865

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.