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Titlebook: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura; Robert Kozma,Walter J. Freeman Book

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41#
發(fā)表于 2025-3-28 17:42:23 | 只看該作者
https://doi.org/10.1057/9780230392830 and are now regularly reported by studies using appropriate techniques on both microscopic Grün and Rotter, Analysis of parallel spike trains, 2010, [.] and macroscopic spatial scales Freeman and Quiroga, Imaging brain function with EEG. Advanced temporal and spatial analysis of electroencephalographic signals, 2013, [.].
42#
發(fā)表于 2025-3-28 18:53:39 | 只看該作者
43#
發(fā)表于 2025-3-28 23:30:56 | 只看該作者
Commentary by Frank Ohl and are now regularly reported by studies using appropriate techniques on both microscopic Grün and Rotter, Analysis of parallel spike trains, 2010, [.] and macroscopic spatial scales Freeman and Quiroga, Imaging brain function with EEG. Advanced temporal and spatial analysis of electroencephalographic signals, 2013, [.].
44#
發(fā)表于 2025-3-29 05:26:10 | 只看該作者
45#
發(fā)表于 2025-3-29 09:50:17 | 只看該作者
Manuela Delfino,Donatella Persico:245–251, 2005 [.], Honey et al., Neuroimage 52(3):766–776, 2010 [.], Stam et al., Cereb Cortex 17:92–99, 2007 [.], Bonifazi et al., Science 326(5958):1419–1424, 2009 [.], Deco and Corbetta, Neuroscientist 17(1):107–123, 2011 [.] and Kim et al., NeuroImage Clin 2:414–423, 2013 [.].
46#
發(fā)表于 2025-3-29 13:04:05 | 只看該作者
Fundamentals of Self-Regulated Learning,by major pathways and tracts (Brodmann, Vergleichende Lokalizationslehre der Grosshirnrinde. Barth, Leipzig, 1909, [.]). A graph/network at one level is a node at a higher level by integration and condensation and vice versa by differentiation and expansion.
47#
發(fā)表于 2025-3-29 16:54:58 | 只看該作者
Anna Blomb?ck,Olof Brunninge,Anders Melandertool for determination of the sources of the local field potential is discussed, with special attention to the recent results about source localization on single neurons. These new applications may pave the way to the emergence of a new field of micro-electric imaging.
48#
發(fā)表于 2025-3-29 23:31:23 | 只看該作者
Short and Long Edges in Random Graphs for Neuropil Modeling:245–251, 2005 [.], Honey et al., Neuroimage 52(3):766–776, 2010 [.], Stam et al., Cereb Cortex 17:92–99, 2007 [.], Bonifazi et al., Science 326(5958):1419–1424, 2009 [.], Deco and Corbetta, Neuroscientist 17(1):107–123, 2011 [.] and Kim et al., NeuroImage Clin 2:414–423, 2013 [.].
49#
發(fā)表于 2025-3-30 02:31:39 | 只看該作者
Modeling Cortical Phase Transitions Using Random Graph Theoryby major pathways and tracts (Brodmann, Vergleichende Lokalizationslehre der Grosshirnrinde. Barth, Leipzig, 1909, [.]). A graph/network at one level is a node at a higher level by integration and condensation and vice versa by differentiation and expansion.
50#
發(fā)表于 2025-3-30 04:20:44 | 只看該作者
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