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Embracing Deepfakes and AI-generated images in Neuroscience Research
  • Casey Becker,
  • Robin Laycock
Casey Becker
RMIT University

Corresponding Author:[email protected]

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Robin Laycock
RMIT University
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The rise of deepfakes and AI-generated images has raised concerns regarding their potential misuse in society. However, this commentary highlights the valuable opportunities these technologies offer for neuroscience research. Deepfakes provide accessible, realistic, and customisable dynamic face stimuli, while generative adversarial networks (GANs) can generate and modify diverse and high-quality static content. These advancements enhance the variability and ecological validity of research methods, and enable the creation of previously unattainable stimuli. When AI-generated images are informed by brain responses, they provide unique insights into the structure and function of visual systems. The authors encourage experimental psychologists and cognitive neuroscientists to stay informed about these emerging tools and embrace their potential to advance visual neuroscience.
11 Apr 2023Submitted to European Journal of Neuroscience
11 Apr 2023Submission Checks Completed
11 Apr 2023Assigned to Editor
14 Apr 2023Review(s) Completed, Editorial Evaluation Pending
14 Apr 2023Reviewer(s) Assigned
22 Apr 2023Editorial Decision: Revise Minor
04 May 20231st Revision Received
05 May 2023Submission Checks Completed
05 May 2023Assigned to Editor
05 May 2023Review(s) Completed, Editorial Evaluation Pending
05 May 2023Reviewer(s) Assigned
22 May 2023Editorial Decision: Accept