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个人简介
My research focuses on biologically-inspired computation such as neural networks and evolutionary computation. On one hand, the goal is to understand biological information processing, and on the other, to develop intelligent artificial systems that learn and adapt by observing and interacting with the environment. The three main focus areas are: (1) Neuroevolution, i.e. evolving complex deep learning architectures and recurrent neural networks for sequential decision tasks such as those in robotics, games, and artificial life; (2) Cognitive Science, i.e. models of natural language processing, memory, and learning that, in particular, shed light on disorders such as schizophrenia and aphasia; and (3) Computational Neuroscience, i.e. development, structure, and function of the visual cortex, episodic memory, and language processing.
研究兴趣
论文共 651 篇作者统计合作学者相似作者
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Artificial lifeno. 2 (2024): 259-276
CoRR (2024)
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AI MAGAZINEno. 1 (2024): 165-167
Genetic and evolutionary computationpp.29-57, (2023)
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ICMLpp.28422-28447, (2023)
LANGUAGE LEARNINGno. Suppl 2 (2023): 78-82
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