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- W3199800513 abstract "Neuroscience lies at the heart of a wide range of novel scientific and technological advances, from neurotechnology to computing and the cognitive sciences. Observing and studying the human brain allows glimpses into the most valuable resource resulting from evolution: the human mind. However abundant and widely available, neuroscience research data are knowledge and resource intensive to acquire and maintain, demanding a high level of skill and expertise to be produced, accessed and applied. As in all complex knowledge domains, reasoning with neuroscience relies on implicit metacognitive processes, and metacognition relies on high level cognitive models. This paper proposes a System Level Knowledge Representation schema as an abstraction for neuroscience data aimed at supporting explicit metacognition as well as knowledge organisation, understandability and to ease the cognitive load of processing systems neuroscience data." @default.
- W3199800513 created "2021-09-27" @default.
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- W3199800513 date "2021-01-01" @default.
- W3199800513 modified "2023-09-25" @default.
- W3199800513 title "System Level Knowledge Representation for Metacognition in Neuroscience" @default.
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- W3199800513 doi "https://doi.org/10.1007/978-3-030-86993-9_8" @default.
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