Evidence map›Paper›PMID 41743648›Full record

ArticleFrontiers in artificial intelligence2026

Optimal hyperdimensional representation for learning and cognitive computation.

Prathyush P Poduval, Hamza Errahmouni Barkam, Xiangjian Liu, Sanggeon Yun, Yang Ni, Zhuowen Zou, Nathaniel D Bastian, Mohsen Imani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Prathyush P PoduvalDonald Bren School of Information and Computer Sciences (ICS), University of California, Irvine, Irvine, CA, United States.
Hamza Errahmouni BarkamDonald Bren School of Information and Computer Sciences (ICS), University of California, Irvine, Irvine, CA, United States.
Xiangjian LiuDonald Bren School of Information and Computer Sciences (ICS), University of California, Irvine, Irvine, CA, United States.
Sanggeon YunDonald Bren School of Information and Computer Sciences (ICS), University of California, Irvine, Irvine, CA, United States.
Yang NiPurdue University Northwest, Hammond, IN, United States.
Zhuowen ZouDonald Bren School of Information and Computer Sciences (ICS), University of California, Irvine, Irvine, CA, United States.
Nathaniel D BastianUnited States Military Academy, West Point, NY, United States.
Mohsen ImaniDonald Bren School of Information and Computer Sciences (ICS), University of California, Irvine, Irvine, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperdimensional Computing (HDC) is a neurally inspired computing paradigm that leverages lightweight, high-dimensional operations to emulate key brain functions. Recent advances in HDC have primarily targeted two domains:

Indexed as

brain-inspired learningcognitive computationhigh-dimensional representationhyperdimensional computing (HDC)neural-symbolic encoding

Identifiers

PMID41743648
PMCPMC12929535

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.