Maximilien Le Clei
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View article: Gamer in the scanner : Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content
Gamer in the scanner : Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content Open
In recent years, videogames have gathered interest in cognitive neuroscience for their potential to study cognition in dynamical and naturalistic contexts. Yet, the complexity of game environments often challenges traditional modeling appr…
View article: WITHDRAWN
WITHDRAWN Open
View article: Alignment of auditory artificial networks with massive individual fMRI brain data leads to generalisable improvements in brain encoding and downstream tasks
Alignment of auditory artificial networks with massive individual fMRI brain data leads to generalisable improvements in brain encoding and downstream tasks Open
Artificial neural networks trained in the field of artificial intelligence (AI) have emerged as key tools to model brain processes, sparking the idea of aligning network representations with brain dynamics to enhance performance on AI task…
View article: Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play
Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play Open
Videogames provide a promising framework to understand brain activity in a rich, engaging, and active environment, in contrast to mostly passive tasks currently dominating the field, such as image viewing. Analyzing videogames neuroimaging…
View article: Gamer in the scanner : Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content
Gamer in the scanner : Event-related analysis of fMRI activity during retro videogame play guided by automated annotations of game content Open
In recent years, videogames have gathered interest in cognitive neuroscience for their potential to study cognition in dynamical and naturalistic contexts. Yet, inherent game complexity can push traditional modeling to its limits, and curr…
View article: Alignment of auditory artificial networks with massive individual fMRI brain data leads to generalizable improvements in brain encoding and downstream tasks
Alignment of auditory artificial networks with massive individual fMRI brain data leads to generalizable improvements in brain encoding and downstream tasks Open
Artificial neural networks trained in the field of artificial intelligence (AI) have emerged as key tools to model brain processes, sparking the idea of aligning network representations with brain dynamics to enhance performance on AI task…
View article: Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master
Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master Open
Our society is increasingly fond of computational tools. This phenomenon has greatly increased over the past decade following, among other factors, the emergence of a new Artificial Intelligence paradigm. Specifically, the coupling of two …
View article: Neuroevolution of Recurrent Architectures on Control Tasks
Neuroevolution of Recurrent Architectures on Control Tasks Open
Modern artificial intelligence works typically train the parameters of fixed-sized deep neural networks using gradient-based optimization techniques. Simple evolutionary algorithms have recently been shown to also be capable of optimizing …
View article: Generative Adversarial Neuroevolution for Control Behaviour Imitation
Generative Adversarial Neuroevolution for Control Behaviour Imitation Open
There is a recent surge in interest for imitation learning, with large human video-game and robotic manipulation datasets being used to train agents on very complex tasks. While deep neuroevolution has recently been shown to match the perf…