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\begin{document}

\title{Embracing Deepfakes and AI-generated images in Neuroscience Research}



\author[1]{Casey Becker}%
\author[1]{Robin Laycock}%
\affil[1]{RMIT University}%


\vspace{-1em}



  
  \date{May 24, 2024}


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\begin{abstract}
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.%
\end{abstract}%



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