Evidence map›Paper›PMID 36228614›Full record

ArticleNeuron2022

In vitro neurons learn and exhibit sentience when embodied in a simulated game-world.

Brett J Kagan, Andy C Kitchen, Nhi T Tran, Forough Habibollahi, Moein Khajehnejad, Bradyn J Parker, Anjali Bhat, Ben Rollo, Adeel Razi, Karl J Friston

Abstract read
In one paragraph

Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026
    Review
  5. Science and Videogames: From Scientific Dissemination to Knowledge Production.American journal of human biology : the official journal of the Human Biology Council · 2026
    Article
  6. Review
  7. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. An integratediScience · 2026
    Article
  16. Article
  17. Neural reservoir control of a bio-hybrid soft arm.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Article
  19. Janus Synapses as Modular Neurointerfaces.ACS applied materials & interfaces · 2026
    Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Brett J KaganCortical Labs, Melbourne, Australia. Electronic address: brett@corticallabs.com.
Andy C KitchenCortical Labs, Melbourne, Australia.
Nhi T TranThe Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Forough HabibollahiDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
Moein KhajehnejadDepartment of Data Science and AI, Monash University, Melbourne, Australia.
Bradyn J ParkerDepartment of Materials Science and Engineering, Monash University, Melbourne, VIC, Australia.
Anjali BhatWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.
Ben RolloDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia.
Adeel RaziWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK; Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia; Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia; CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, Canada.
Karl J FristonWellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating neurons into digital systems may enable performance infeasible with silicon alone. Here, we develop DishBrain, a system that harnesses the inherent adaptive computation of neurons in a structured environment. In vitro neural networks from human or rodent origins are integrated with in silico computing via a high-density multielectrode array. Through electrophysiological stimulation and recording, cultures are embedded in a simulated game-world, mimicking the arcade game "Pong." Applying implications from the theory of active inference via the free energy principle, we find apparent learning within five minutes of real-time gameplay not observed in control conditions. Further experiments demonstrate the importance of closed-loop structured feedback in eliciting learning over time. Cultures display the ability to self-organize activity in a goal-directed manner in response to sparse sensory information about the consequences of their actions, which we term synthetic biological intelligence. Future applications may provide further insights into the cellular correlates of intelligence.

Indexed as

cell cultureelectrophysiologyfree energy principleintelligencein vitrolearningmicrophysiological systemsneurocomputationneuronssynthetic biological intelligence

Identifiers

PMID36228614
PMCPMC9747182

What OpenQuestion holds

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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.