標(biāo)題: Titlebook: Micro-, Meso- and Macro-Connectomics of the Brain; Henry Kennedy,David C. Van Essen,Yves Christen Book‘‘‘‘‘‘‘‘ 2016 The Editor(s) (if appl [打印本頁(yè)] 作者: 搭話 時(shí)間: 2025-3-21 20:09
書(shū)目名稱(chēng)Micro-, Meso- and Macro-Connectomics of the Brain影響因子(影響力)
書(shū)目名稱(chēng)Micro-, Meso- and Macro-Connectomics of the Brain影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Micro-, Meso- and Macro-Connectomics of the Brain網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Micro-, Meso- and Macro-Connectomics of the Brain網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
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書(shū)目名稱(chēng)Micro-, Meso- and Macro-Connectomics of the Brain讀者反饋
書(shū)目名稱(chēng)Micro-, Meso- and Macro-Connectomics of the Brain讀者反饋學(xué)科排名
作者: JOG 時(shí)間: 2025-3-22 00:05
0945-6082 uits in health and disease.Highlights cutting-edge methods tThis book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ effor作者: Commentary 時(shí)間: 2025-3-22 01:59 作者: GRATE 時(shí)間: 2025-3-22 07:42 作者: 駁船 時(shí)間: 2025-3-22 11:30 作者: watertight, 時(shí)間: 2025-3-22 14:52 作者: Eclampsia 時(shí)間: 2025-3-22 18:28 作者: Conflict 時(shí)間: 2025-3-22 23:24 作者: neolith 時(shí)間: 2025-3-23 04:17
978-3-319-80214-5The Editor(s) (if applicable) and the Author(s) 2016作者: dissent 時(shí)間: 2025-3-23 08:12 作者: fidelity 時(shí)間: 2025-3-23 12:29 作者: enchant 時(shí)間: 2025-3-23 17:54
Terrence J. Sejnowski equation whose solutions are solutions of the hereditary one and can be interpreted as the asymptotes of its generic solutions. We define also the concept of Predictive Differential Equations associated with a class of hereditary ones depending on a coupling constant G as a first order differential作者: 袋鼠 時(shí)間: 2025-3-23 18:49 作者: 無(wú)能力 時(shí)間: 2025-3-23 23:47 作者: Atheroma 時(shí)間: 2025-3-24 03:26
Andreas Burkhalter equation whose solutions are solutions of the hereditary one and can be interpreted as the asymptotes of its generic solutions. We define also the concept of Predictive Differential Equations associated with a class of hereditary ones depending on a coupling constant G as a first order differential作者: PLAYS 時(shí)間: 2025-3-24 09:35
Kenneth Knoblauch,Mária Ercsey-Ravasz,Henry Kennedy,Zoltán Toroczkai equation whose solutions are solutions of the hereditary one and can be interpreted as the asymptotes of its generic solutions. We define also the concept of Predictive Differential Equations associated with a class of hereditary ones depending on a coupling constant G as a first order differential作者: Noctambulant 時(shí)間: 2025-3-24 13:43 作者: lethal 時(shí)間: 2025-3-24 16:27 作者: maladorit 時(shí)間: 2025-3-24 22:08 作者: 字的誤用 時(shí)間: 2025-3-25 01:09 作者: gain631 時(shí)間: 2025-3-25 06:06
Paul M. Thompson,Derrek P. Hibar,Jason L. Stein,Gautam Prasad,Neda Jahanshad equation whose solutions are solutions of the hereditary one and can be interpreted as the asymptotes of its generic solutions. We define also the concept of Predictive Differential Equations associated with a class of hereditary ones depending on a coupling constant G as a first order differential作者: 涂掉 時(shí)間: 2025-3-25 09:00
equation whose solutions are solutions of the hereditary one and can be interpreted as the asymptotes of its generic solutions. We define also the concept of Predictive Differential Equations associated with a class of hereditary ones depending on a coupling constant G as a first order differential作者: Verify 時(shí)間: 2025-3-25 12:12 作者: 骯臟 時(shí)間: 2025-3-25 19:14 作者: lacrimal-gland 時(shí)間: 2025-3-25 22:59
Form Meets Function in the Brain: Observing the Activity and Structure of Specific Neural Connectiove developed and applied methods for precisely controlling the activity of specific cells and projections within neural systems during behavior (optogenetics). Here I review distinct complementary technological approaches for observing natural activity patterns in these cells and projections during 作者: 使饑餓 時(shí)間: 2025-3-26 03:04
The Network for Intracortical Communication in Mouse Visual Cortex,ce a widely used model for linking brain circuits to behavior. Most behaviors are tied to vision: identifying objects, guiding movements of body parts, navigating through the environment, and even social interactions. Reason enough to focus on the mouse visual cortex. To find our way around in the o作者: 吼叫 時(shí)間: 2025-3-26 08:15 作者: antidepressant 時(shí)間: 2025-3-26 08:36
In-Vivo Connectivity in Monkeys,idual synapses. To fully understand brain functioning and to bridge the gap between rodents and humans, however, I argue in this chapter that effective connectivity studies in nonhuman primates are equally critical. The primate community should embrace the novel, high-precision genetic-based toolkit作者: 材料等 時(shí)間: 2025-3-26 14:36
Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex,scopic, mesoscopic, and macroscopic levels. Here, we review recent progress in mapping the macroscopic brain circuits and functional organization of the cerebral cortex in primates—humans and macaque monkeys, in particular. There are many similarities across species in terms of overall patterns of c作者: Moderate 時(shí)間: 2025-3-26 19:53 作者: 珍奇 時(shí)間: 2025-3-27 00:14 作者: 大方不好 時(shí)間: 2025-3-27 03:36
Genetics of the Connectome and the ENIGMA Project,enetic code influence the brain, and how 12 major diseases affect the brain worldwide. At the time of writing, ENIGMA involves over 500 scientists from 185 institutions worldwide, working together on around 30 projects to discover factors that may help or harm the brain. By pooling genome-wide genom作者: 免費(fèi) 時(shí)間: 2025-3-27 05:25
0945-6082 etwork theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.978-3-319-80214-5978-3-319-27777-6Series ISSN 0945-6082 Series E-ISSN 2196-3096 作者: Loathe 時(shí)間: 2025-3-27 12:48 作者: orthodox 時(shí)間: 2025-3-27 15:54 作者: 華而不實(shí) 時(shí)間: 2025-3-27 20:38 作者: Inordinate 時(shí)間: 2025-3-27 22:06 作者: optic-nerve 時(shí)間: 2025-3-28 03:28 作者: Spinous-Process 時(shí)間: 2025-3-28 10:03
Connectome Networks: From Cells to Systems,apping network attributes across scales. In addition to highlighting important advances, I will outline some major challenges that need to be overcome to achieve a more complete understanding of connectome networks.作者: 有害 時(shí)間: 2025-3-28 13:39 作者: Feedback 時(shí)間: 2025-3-28 17:14 作者: engrave 時(shí)間: 2025-3-28 20:20
Terrence J. Sejnowskié Invariant System defined in previous papers is an Attractor in an obviously generalized sense. Roughly speaking this means that the retarded electromagnetic equations of motion have a built-in mechanism which causes a spontaneous predictivisation of the causal interaction.作者: 步兵 時(shí)間: 2025-3-29 01:16 作者: 柏樹(shù) 時(shí)間: 2025-3-29 04:40 作者: TEM 時(shí)間: 2025-3-29 07:58
Andreas Burkhalteré Invariant System defined in previous papers is an Attractor in an obviously generalized sense. Roughly speaking this means that the retarded electromagnetic equations of motion have a built-in mechanism which causes a spontaneous predictivisation of the causal interaction.
