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Artificial neural network (ANN) systems performed better at predicting future frames of a movie when trained on retinal waves mimicking the spontaneous activity patterns of the retina in animals' eyes, in addition to training on naturalistic movies

03.31.25 | PLOS

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Artificial neural network (ANN) systems performed better at predicting future frames of a movie when trained on retinal waves mimicking the spontaneous activity patterns of the retina in animals' eyes, in addition to training on naturalistic movie
A schematic of the stimuli seen by the mouse after vision onset in a virtual corridor rich with optic flow, created using a 3D animation software and used as the training dataset (Methods 4.1.4). The dataset simulates a mouse’s visual experience when moving forward through space. Credit: May et al., 2025, PLOS Computational Biology, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Artificial neural network (ANN) systems performed better at predicting future frames of a movie when trained on retinal waves mimicking the spontaneous activity patterns of the retina in animals' eyes, in addition to training on naturalistic movies.

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Article URL: https://plos.io/4caNWFM

Article Title: Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes

Author Countries: Austria, Germany

Funding: This work was supported by the European Research Council (ERC StG NeuroDevo #804824 to JG) and TUM Innovation Network “Neurotechnology in Mental Health” (to JG). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

PLOS Computational Biology

10.1371/journal.pcbi.1012830

Competing Interests: The authors have declared that no competing interests exist.

Keywords

Artificial Neural Networks Retina

Article Information

Journal
PLOS Computational Biology
DOI
10.1371/journal.pcbi.1012830
COI Statement
Competing Interests: The authors have declared that no competing interests exist.

Contact Information

Charlotte Bhaskar
PLOS
cjpress@plos.org

How to Cite This Article

APA:
PLOS. (2025, March 31). Artificial neural network (ANN) systems performed better at predicting future frames of a movie when trained on retinal waves mimicking the spontaneous activity patterns of the retina in animals' eyes, in addition to training on naturalistic movies. Brightsurf News. https://www.brightsurf.com/news/12DPX4R1/artificial-neural-network-ann-systems-performed-better-at-predicting-future-frames-of-a-movie-when-trained-on-retinal-waves-mimicking-the-spontaneous-activity-patterns-of-the-retina-in-animals-eyes-in.html
MLA:
"Artificial neural network (ANN) systems performed better at predicting future frames of a movie when trained on retinal waves mimicking the spontaneous activity patterns of the retina in animals' eyes, in addition to training on naturalistic movies." Brightsurf News, Mar. 31 2025, https://www.brightsurf.com/news/12DPX4R1/artificial-neural-network-ann-systems-performed-better-at-predicting-future-frames-of-a-movie-when-trained-on-retinal-waves-mimicking-the-spontaneous-activity-patterns-of-the-retina-in-animals-eyes-in.html.