Evidence map›Paper›PMID 42404109›Full record

ReviewNpj unconventional computing2026

A cybernetic framework for synthetic biological intelligence in the era of neural tissue engineering.

Étienne P Sellar, Nicolas Rouleau

Abstract readReview
In one paragraph

Review in Npj unconventional computing, 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

2 authors.

Étienne P SellarDepartment of Health Sciences, Wilfrid Laurier University, Waterloo, ON Canada.
Nicolas RouleauDepartment of Health Sciences, Wilfrid Laurier University, Waterloo, ON Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in synthetic biology and tissue engineering have enabled the design and assembly of neural constructs from first principles, renewing interest in cybernetics for understanding control, adaptation, and intelligence. To address shortcomings of artificial intelligence, researchers increasingly draw on the learning, robustness, and energy efficiency of living cognitive systems. Synthetic biological intelligences (SBIs) are beginning to leverage embodied biological computation, while cybernetics provides substrate-agnostic principles to guide minimal cognition research.

Indexed as

EngineeringMathematics and computing

Identifiers

PMID42404109
PMCPMC13327941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.