Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
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Abstract (arXiv)
Videogames have been a catalyst for advances in many research fields, such as artificial intelligence, human-computer interaction or virtual reality. Over the years, research in fields such as artificial intelligence has enabled the design of new types of games, while games have often served as a powerful tool for testing and simulation. Can this also happen with neuroscience? What is the current relationship between neuroscience and games research? what can we expect from the future? In this article, we'll try to answer these questions, analysing the current state-of-the-art at the crossroads between neuroscience and games and envisioning future directions.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 80 references that are in the map. First posted on arXiv 6 Mar 2024.
Builds on
9 of 80 references.
References · 9
- 2020Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Futurecited by 83
- 2018MOABB: Trustworthy algorithm benchmarking for BCIscited by 82
- 2016Towards an integration of deep learning and neurosciencecited by 78
- 2021The Arousal video Game AnnotatIoN (AGAIN) Datasetcited by 18
- 2022Domain-Invariant Representation Learning from EEG with Private Encoderscited by 12
- 2023Affective Game Computing: A Surveycited by 11
- 2019Your Gameplay Says It All: Modelling Motivation in Tom Clancy's The Divisioncited by 7
- 2021EEG based stress analysis using rhythm specific spectral feature for video gameplaycited by 1
- 2023Investigating Perceived and Mechanical Challenge in Games Through Cognitive Activitycited by 1
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Citing papers per year: 2025: 1.
1 paper.