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Titlebook: Brain-Inspired Computing; Second International Katrin Amunts,Lucio Grandinetti,Nicolai Petkov Conference proceedings 2016 Springer Internat

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發(fā)表于 2025-3-30 10:07:31 | 只看該作者
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發(fā)表于 2025-3-30 12:29:01 | 只看該作者
Human Brainnetome Atlas and Its Potential Applications in Brain-Inspired Computing, provide information about functionally important connectivity. Recently, novel methodologies and computerized brain mapping techniques could be used to explore the structure, function, and spatio-temporal changes in the human brain. The human Brainnetome Atlas is an in vivo map that includes fine-g
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發(fā)表于 2025-3-31 07:07:01 | 只看該作者
Designing Workflows for the Reproducible Analysis of Electrophysiological Data, are interwoven and complex. Unfortunately, current implementations of such workflows of electrophysiological research are far from being automatized, and software supporting such a goal is largely in development or missing. In consequence, the level of reproducibility of data analysis is poor compa
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發(fā)表于 2025-3-31 09:18:13 | 只看該作者
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發(fā)表于 2025-3-31 15:05:05 | 只看該作者
Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing,l elements form building blocks to define canonical elements for columnar computation in cortex. As a further abstraction, we define a dynamical three-stage model of a cortical column for processing that allows to investigate the dynamic response properties of cortical algorithms, e.g., feedforward
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