Evidence map›Paper›PMID 37868615›Full record

ArticleProceedings of the IEEE. Institute of Electrical and Electronics Engineers2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

Denis Kleyko, Mike Davies, E Paxon Frady, Pentti Kanerva, Spencer J Kent, Bruno A Olshausen, Evgeny Osipov, Jan M Rabaey, Dmitri A Rachkovskij, Abbas Rahimi and 1 more

Abstract read
In one paragraph

Article in Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Perceptron Theory Can Predict the Accuracy of Neural Networks.IEEE transactions on neural networks and learning systems · 2024
    Article
  12. Article
  13. Hyperdimensional computing with holographic and adaptive encoder.Frontiers in artificial intelligence · 2024
    Article
  14. Article
  15. Article
  16. The brain's unique take on algorithms.Nature communications · 2023
    Article
  17. Variable Binding for Sparse Distributed Representations: Theory and Applications.IEEE transactions on neural networks and learning systems · 2023
    Article
  18. Cellular Automata Can Reduce Memory Requirements of Collective-State Computing.IEEE transactions on neural networks and learning systems · 2022
    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

11 authors.

Denis KleykoRedwood Center for Theoretical Neuroscience at the University of California at Berkeley, CA 94720, USA and also with the Intelligent Systems Lab at Research Institutes of Sweden, 16440 Kista, Sweden.
Mike DaviesNeuromorphic Computing Lab, Intel Labs, Santa Clara, CA 95054, USA.
E Paxon FradyNeuromorphic Computing Lab, Intel Labs, Santa Clara, CA 95054, USA.
Pentti KanervaRedwood Center for Theoretical Neuroscience at the University of California at Berkeley, CA 94720, USA.
Spencer J KentRedwood Center for Theoretical Neuroscience at the University of California at Berkeley, CA 94720, USA.
Bruno A OlshausenRedwood Center for Theoretical Neuroscience at the University of California at Berkeley, CA 94720, USA.
Evgeny OsipovDepartment of Computer Science Electrical and Space Engineering, Luleå University of Technology, 97187 Luleå, Sweden.
Jan M RabaeyDepartment of Electrical Engineering and Computer Sciences at the University of California at Berkeley, CA 94720, USA.
Dmitri A RachkovskijInternational Research and Training Center for Information Technologies and Systems, 03680 Kyiv, Ukraine, and with the Department of Computer Science Electrical and Space Engineering, Luleå University of Technology, 97187 Luleå, Sweden.
Abbas RahimiIBM Research - Zurich, 8803 Rüschlikon, Switzerland.
Friedrich T SommerNeuromorphic Computing Lab, Intel Labs, Santa Clara, CA 95054, USA and also with the Redwood Center for Theoretical Neuroscience at the University of California at Berkeley, CA 94720, USA.

Funding

Building analysis tools and a theory framework for inferring principles of neural computation from multi-scale organization in brain recordingsR01EB026955 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI SOMMER, FRIEDRICH T · 2018 to 2020
$1.1M
NIBIB NIH HHS R01 EB026955
6 · The paper itself

Abstract

This article reviews recent progress in the development of the computing framework

Indexed as

computing frameworkcomputing in superpositiondata structuresdistributed representationsemerging hardwarehyperdimensional computingTuring completenessvector symbolic architectures

Identifiers

PMID37868615
PMCPMC10588678

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.