Evidence map›Paper›PMID 31865885›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2020

Real-time cortical simulation on neuromorphic hardware.

Oliver Rhodes, Luca Peres, Andrew G D Rowley, Andrew Gait, Luis A Plana, Christian Brenninkmeijer, Steve B Furber

Open access · greenAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 54 citations in OpenAlex.

  1. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Building on models-a perspective for computational neuroscience.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Connectivity concepts in neuronal network modeling.PLoS computational biology · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Beyond LIF Neurons on Neuromorphic Hardware.Frontiers in neuroscience · 2022
    Article
  18. Article
  19. Article
  20. Article
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

7 authors at 1 institution in 1 country.

Oliver RhodesDepartment of Computer Science, University of Manchester, Manchester, UK.
Luca PeresDepartment of Computer Science, University of Manchester, Manchester, UK.
Andrew G D RowleyDepartment of Computer Science, University of Manchester, Manchester, UK.
Andrew GaitDepartment of Computer Science, University of Manchester, Manchester, UK.
Luis A PlanaDepartment of Computer Science, University of Manchester, Manchester, UK.
Christian BrenninkmeijerDepartment of Computer Science, University of Manchester, Manchester, UK.
Steve B FurberDepartment of Computer Science, University of Manchester, Manchester, UK.
University of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelization scheme and SpiNNaker neuromorphic hardware. A published cortical microcircuit model is used as a benchmark test case, representing ≈1 mm

Indexed as

Computer SimulationModels, NeurologicalNerve NetNeurosciencescortical microcircuitlow-powerneuromorphicparallel programmingreal timeSpiNNaker

Identifiers

PMID31865885
PMCPMC6939236
OpenAlexW2974488061

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.