標(biāo)題: Titlebook: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura; Robert Kozma,Walter J. Freeman Book [打印本頁] 作者: Fixate 時間: 2025-3-21 19:52
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura影響因子(影響力)
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura影響因子(影響力)學(xué)科排名
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura網(wǎng)絡(luò)公開度
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura被引頻次
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura被引頻次學(xué)科排名
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura年度引用
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura年度引用學(xué)科排名
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura讀者反饋
書目名稱Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura讀者反饋學(xué)科排名
作者: 不真 時間: 2025-3-21 23:27 作者: 傾聽 時間: 2025-3-22 02:53
Commentary by B. Baarsmata. It also implies scale-free dynamics and inverse power-law distributions of cortical connectivity and EEG power. Yet what is it that is being propagated? In the conventional view, conscious visual percepts emerge from more than 40 visuotopical activity arrays linked bidirectionally, so that . e作者: 平靜生活 時間: 2025-3-22 07:35 作者: 白楊魚 時間: 2025-3-22 09:04 作者: Mnemonics 時間: 2025-3-22 13:52 作者: Mnemonics 時間: 2025-3-22 19:09
Self-Regulation of the Brain and Behaviormata. It also implies scale-free dynamics and inverse power-law distributions of cortical connectivity and EEG power. Yet what is it that is being propagated? In the conventional view, conscious visual percepts emerge from more than 40 visuotopical activity arrays linked bidirectionally, so that . e作者: 量被毀壞 時間: 2025-3-22 21:47 作者: 生氣的邊緣 時間: 2025-3-23 03:09 作者: MAOIS 時間: 2025-3-23 08:49 作者: 向外才掩飾 時間: 2025-3-23 11:10 作者: WAG 時間: 2025-3-23 16:52
https://doi.org/10.1007/978-94-6091-654-0ive behaviors. Here we introduce examples of high-resolution intracranial electrocorticogram (ECoG) experiments with rabbits and human participants, as well as noninvasive scalp electroencephalogram (EEG) experiments. Results of these experiments will be used to illustrate the neurodynamic principle作者: Rejuvenate 時間: 2025-3-23 20:30
Roberto Carneiro,Paul Lefrere,Jean Underwood–94, 1998 [.], Korn, Faure, C R Biol, 326:787–840, 2003 [.], in particular using models of transient dynamics Rabinovich, Abarbanel, Neuroscience 87(1):5–14, 1998 [.], Kaneko, Tsuda, Complex systems: chaos and beyond. A constructive approach with applications in life sciences. Springer, Berlin, 2001作者: 食品室 時間: 2025-3-24 00:27 作者: 格子架 時間: 2025-3-24 04:22 作者: ingestion 時間: 2025-3-24 08:23 作者: 刻苦讀書 時間: 2025-3-24 13:01
Legalization of Anti-Money Laundering,e mesoscopic models representing an intermediate-level between microscopic neurons and macroscopic brain structures. K sets are multi-scale models, describing increasing complexity of structure and dynamical behaviors.作者: 不適 時間: 2025-3-24 16:03
Self-Regulation of the Brain and Behavioriable amplitude. This treatment is based on the assumption that brain dynamics is linear and time-invariant, which is clearly not the case. The advantage conveyed by this assumption is the ease with which linear analysis can be applied to brain waves using, e.g., Fast Fourier Transform (FFT). The di作者: APNEA 時間: 2025-3-24 19:41
https://doi.org/10.1007/978-3-642-69379-3is, 1974, [.]. Examples include the prepyriform cortex (paleocortex), the hippocampus (archicortex) and parts of the perirhinal and entorhinal cortex (mesocortex) Maclean, The triune brain. Plenum, New York, 1969, [.]; the olfactory bulb is here included as allocortex owing to its similarity to the 作者: Counteract 時間: 2025-3-24 23:18
Self-Regulation of the Brain and Behaviorynamical phenomena in cortex, involving the dendritic feltwork of Layer I. After Hilbert analysis, a strip of electrodes with sufficient spatial density reveals intermittent phase equilibria interrupted by .10?Hz phase collapses. This activity propagates via phase dispersion. Kozma and Freeman, Adva作者: 迷住 時間: 2025-3-25 04:58
Anna Blomb?ck,Olof Brunninge,Anders Melandertex. This topic is of immense importance to the question of the neural basis of cognition, both in animals and humans. For example, one conceptual framework that has emerged over many years describes cognitive function in terms of actions between areas in large-scale networks of the neocortex, or ne作者: PHON 時間: 2025-3-25 10:34
Anna Blomb?ck,Olof Brunninge,Anders Melanderailed conductance based neuron models and the oversimplified models, dealing with the input–output transformations only. Our analysis combines historical perspectives and recent developments concerning neural mass models as a third option for modeling large neural populations and inclusion of detail作者: 慢跑鞋 時間: 2025-3-25 13:07 作者: EXULT 時間: 2025-3-25 16:00 作者: sultry 時間: 2025-3-25 21:39 作者: INCH 時間: 2025-3-26 02:51
Experimental Investigation of High-Resolution Spatio-Temporal Patternsive behaviors. Here we introduce examples of high-resolution intracranial electrocorticogram (ECoG) experiments with rabbits and human participants, as well as noninvasive scalp electroencephalogram (EEG) experiments. Results of these experiments will be used to illustrate the neurodynamic principles of cognition discussed in this work.作者: hedonic 時間: 2025-3-26 07:19
Supplement I: Mathematical Frameworke mesoscopic models representing an intermediate-level between microscopic neurons and macroscopic brain structures. K sets are multi-scale models, describing increasing complexity of structure and dynamical behaviors.作者: 偏見 時間: 2025-3-26 10:29
Robert Kozma,Walter J. FreemanPresents a complex systems perspective of Cognition.Demonstrates a new original view at cognition as a neural percolation process.Includes commentaries by famous specialists in the neuro/brain-system作者: 殖民地 時間: 2025-3-26 15:10 作者: 含水層 時間: 2025-3-26 19:18 作者: DEI 時間: 2025-3-26 21:13
978-3-319-37352-2Springer International Publishing Switzerland 2016作者: ANTI 時間: 2025-3-27 02:03 作者: Adulate 時間: 2025-3-27 06:43
https://doi.org/10.1007/978-1-4612-3618-4potentially paralleled the capabilities of brains. Von Neumann has been one of the pioneers of this new digital computing era. While appreciating potential of computers, he warned about a mechanistic parallel between brains and computers.作者: 外露 時間: 2025-3-27 11:20 作者: 通便 時間: 2025-3-27 14:22
Legalization of Anti-Money Laundering,e mesoscopic models representing an intermediate-level between microscopic neurons and macroscopic brain structures. K sets are multi-scale models, describing increasing complexity of structure and dynamical behaviors.作者: 采納 時間: 2025-3-27 20:49
https://doi.org/10.1007/978-94-6091-654-0Here we introduce a hierarchical approach to brain dynamics using Freeman K sets, including the hierarchy of ., ., ., and . sets Freeman, Erwin, Scholarpedia, 3(2):3238, 2008, [.]. They correspond to brain scales starting from the sub-mm range to the complete hemisphere, for details see supplementary sections.作者: 千篇一律 時間: 2025-3-27 23:17
Critical Behavior in Hierarchical Neuropercolation Models of CognitionHere we introduce a hierarchical approach to brain dynamics using Freeman K sets, including the hierarchy of ., ., ., and . sets Freeman, Erwin, Scholarpedia, 3(2):3238, 2008, [.]. They correspond to brain scales starting from the sub-mm range to the complete hemisphere, for details see supplementary sections.作者: 使成核 時間: 2025-3-28 03:25 作者: 無脊椎 時間: 2025-3-28 09:23
2198-4182 ommentaries by famous specialists in the neuro/brain-system.This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains.. The microscopic dynamics of neural networks is 作者: epicardium 時間: 2025-3-28 12:19
Self-Regulation of the Brain and Behaviorage conveyed by this assumption is the ease with which linear analysis can be applied to brain waves using, e.g., Fast Fourier Transform (FFT). The disadvantage is the inability of the linear analysis to capture and display the transient dynamics, including nonlinear state transitions by which brains operate.作者: 半圓鑿 時間: 2025-3-28 17:42
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, [.].作者: Hemoptysis 時間: 2025-3-28 18:53 作者: collagen 時間: 2025-3-28 23:30
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, [.].作者: 難解 時間: 2025-3-29 05:26 作者: 茁壯成長 時間: 2025-3-29 09:50
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 [.].作者: 即席 時間: 2025-3-29 13:04
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.作者: 膽大 時間: 2025-3-29 16:54
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.作者: Concrete 時間: 2025-3-29 23:31
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 [.].作者: Deceit 時間: 2025-3-30 02:31
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.作者: 大量殺死 時間: 2025-3-30 04:20 作者: 猛擊 時間: 2025-3-30 12:14 作者: 譏笑 時間: 2025-3-30 13:52 作者: 鍍金 時間: 2025-3-30 19:16
