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Titlebook: Brain Informatics; International Confer Yiyu Yao,Ron Sun,Jimmy Huang Conference proceedings 2010 Springer-Verlag Heidelberg 2010 BCI.brain

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21#
發(fā)表于 2025-3-25 06:05:57 | 只看該作者
Kontrastmittel in der kardiovaskul?ren MRTod, we found its ability to detect memory components of EEG signals and do a distinction between Old/ New items. In contrast with linear techniques recurrence plots and RQA do not need large number of recorded trials, and they can indicate changes in even single-trial EEGs. RQA can also show differe
22#
發(fā)表于 2025-3-25 10:13:18 | 只看該作者
Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions
23#
發(fā)表于 2025-3-25 12:35:54 | 只看該作者
24#
發(fā)表于 2025-3-25 19:02:29 | 只看該作者
Cognitive Informatics and Denotational Mathematical Means for Brain Informaticsthematical means for their special needs that were missing in the last six decades. A layered reference model of the brain and a set of cognitive processes of the mind are systematically developed towards the exploration of the theoretical framework of brain informatics. The current methodologies fo
25#
發(fā)表于 2025-3-25 23:36:12 | 只看該作者
Recurrence Plots for Identifying Memory Components in Single-Trial EEGsod, we found its ability to detect memory components of EEG signals and do a distinction between Old/ New items. In contrast with linear techniques recurrence plots and RQA do not need large number of recorded trials, and they can indicate changes in even single-trial EEGs. RQA can also show differe
26#
發(fā)表于 2025-3-26 00:25:20 | 只看該作者
27#
發(fā)表于 2025-3-26 07:44:20 | 只看該作者
Tool 8: Intrakardiale Thrombusdiagnostik, arguing, by theoretical arguments and empirical evidence on synthetic data, that it might be a viable solution for a multi-variate approach to brain mapping. In addition we provide some results on a neuroscientific case study investigating on a visual perception task.
28#
發(fā)表于 2025-3-26 08:56:28 | 只看該作者
29#
發(fā)表于 2025-3-26 16:41:22 | 只看該作者
30#
發(fā)表于 2025-3-26 18:50:22 | 只看該作者
Feature Rating by Random Subspaces for Functional Brain Mapping, arguing, by theoretical arguments and empirical evidence on synthetic data, that it might be a viable solution for a multi-variate approach to brain mapping. In addition we provide some results on a neuroscientific case study investigating on a visual perception task.
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