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Zmigrod suggests that we can change our neural networks and become more open to difference simply by observing our inclinations to go along with or resist authority.

"SNNs are artificial neural networks that mimic how biological brains process information using brief, discrete signals, much like how neurons in animal brains communicate," Miss Hussaini said.

Deep neural networks are composed of many interconnected layers of nodes, or neurons, that operate on input data to produce an output.

It traces the historical development of neural networks, emphasizing the role of interdisciplinary research in advancing AI.

For this study, the authors use a conditional generative adversarial network, or GAN, a type of machine learning method that can generate realistic images using two competing, or "adversarial," neural networks.