標題: Titlebook: Computational Systems Neurobiology; N. Le Novère Book 2012 Springer Science+Business Media Dordrecht 2012 computational neurobiology.dynam [打印本頁] 作者: Jurisdiction 時間: 2025-3-21 16:18
書目名稱Computational Systems Neurobiology影響因子(影響力)
書目名稱Computational Systems Neurobiology影響因子(影響力)學科排名
書目名稱Computational Systems Neurobiology網(wǎng)絡(luò)公開度
書目名稱Computational Systems Neurobiology網(wǎng)絡(luò)公開度學科排名
書目名稱Computational Systems Neurobiology被引頻次
書目名稱Computational Systems Neurobiology被引頻次學科排名
書目名稱Computational Systems Neurobiology年度引用
書目名稱Computational Systems Neurobiology年度引用學科排名
書目名稱Computational Systems Neurobiology讀者反饋
書目名稱Computational Systems Neurobiology讀者反饋學科排名
作者: pus840 時間: 2025-3-21 21:26
Breakdown of Mass-Action Laws in Biochemical Computation,astic simulation algorithms that can be used to computationally simulate its effects. We end the chapter by describing another cause of anomalous diffusion, molecular crowding, and speculations on the significance of these phenomena for neural function.作者: 向下 時間: 2025-3-22 01:21 作者: 雄辯 時間: 2025-3-22 06:17 作者: Gullible 時間: 2025-3-22 09:16 作者: 擔心 時間: 2025-3-22 15:24 作者: 擔心 時間: 2025-3-22 18:49 作者: gene-therapy 時間: 2025-3-22 23:34 作者: 欺騙世家 時間: 2025-3-23 03:34 作者: colloquial 時間: 2025-3-23 09:27 作者: 濕潤 時間: 2025-3-23 11:18
Historical overview of vascular anastomoses,organization of the entire nervous system, and encompassing time scales from milliseconds to hours.Within this methodical framework, we will focus on how the properties of voltagegated ion channels relate to the functional and structural requirements of axonal signalling and the engineering design p作者: 淘氣 時間: 2025-3-23 15:23
https://doi.org/10.1007/978-3-7985-1715-8heories” that, when constrained by meaningful physiological and anatomical parameterisations, reveal a rich repertoire of biologically plausible and predictive dynamics. The aim of this chapter is to outline the historical genesis of this important modelling framework, and to detail its many success作者: xanthelasma 時間: 2025-3-23 19:43 作者: Decongestant 時間: 2025-3-23 22:36
https://doi.org/10.1007/978-3-663-04935-7eomics data. These methods cover every aspect of the reconstruction, ranging from how to annotate the proteins and acquire the protein interaction data to how to interpret and analyse the resulting models. This chapter gives a detailed overview of these methods as well as example applications to case study proteomics datasets.作者: 推延 時間: 2025-3-24 04:49 作者: Constituent 時間: 2025-3-24 09:40
Historical overview of vascular anastomoses,y diameter produce realistic virtual dendrites of most neuronal types, though more complicated statistical models are required for other types. Virtual dendrites grown under environmental and/or functional constraints are also discussed, offering a broad perspective on dendritic morphology.作者: CRANK 時間: 2025-3-24 14:09 作者: Repetitions 時間: 2025-3-24 18:01 作者: 易受刺激 時間: 2025-3-24 22:47 作者: insular 時間: 2025-3-24 23:15 作者: perjury 時間: 2025-3-25 05:32 作者: 傻 時間: 2025-3-25 10:06 作者: 斥責 時間: 2025-3-25 14:29
Encoding Neuronal Models in SBML,lustrate the results of using the SBML encoding to simulate the models, and demonstrate the correspondance of results produced by the original modelers and the exchangeable encoding of the model in SBML.作者: 鋼筆尖 時間: 2025-3-25 18:51
NeuroML,ations, services on the NeuroML website, examples of models in this format, simulation platform support, and other applications for generating and visualising highly detailed neuronal networks. These resources illustrate how NeuroML can be a key part of the toolchain for researchers addressing complex questions of neuronal system function.作者: inspiration 時間: 2025-3-25 23:14
rs for newcomers, but also describes state of the art researComputational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to stu作者: Counteract 時間: 2025-3-26 00:44 作者: 暫時中止 時間: 2025-3-26 05:20
Historical overview of vascular anastomoses,ellers make tacit assumptions about their general approach, but we would argue that such assumptions should be explicit, and that establishing sound methodological principles is an important foundation stone for making progress.作者: 恃強凌弱的人 時間: 2025-3-26 08:41 作者: FISC 時間: 2025-3-26 13:29 作者: cardiovascular 時間: 2025-3-26 16:58 作者: 外表讀作 時間: 2025-3-26 23:09 作者: Obvious 時間: 2025-3-27 01:56
Book 2012s book introduces the many different types of computational studies one can develop to study neuronal systems. It is aimed at undergraduate students starting their research in computational neurobiology or more senior researchers who would like, or need, to move towards computational approaches. Bas作者: 我悲傷 時間: 2025-3-27 08:30
Functional Genomics and Molecular Networks Gene Expression Regulations in Complex Diseases: Down Syroughput technologies such as microarrays and data analysis. The power of this approach allowed to study complex biological functions as well as diseases. In this chapter, we introduce functional genomics and describe the statistical methods that are used to find differentially expressed genes. We a作者: laxative 時間: 2025-3-27 09:42
Reconstructing Models from Proteomics Data, fraction preparation, protein complex isolation and mass spectrometry identification methods has led to a great accumulation of synaptic proteomics data. In order to gain a better insight of how the synaptic proteome is organised in molecular complexes identified from the biochemical analysis of ne作者: 繞著哥哥問 時間: 2025-3-27 15:55 作者: braggadocio 時間: 2025-3-27 18:25
Breakdown of Mass-Action Laws in Biochemical Computation,articularly neurons and other types of cells. This type of phenomena typically takes place at the nano- to micro-scale levels. An increasing number of studies show that the classical diffusion process dominated by Brownian motion cannot be directly applied to cells. Instead, a process called anomalo作者: 幻影 時間: 2025-3-27 23:16 作者: llibretto 時間: 2025-3-28 02:41
The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fithe activity of single neurons can be done by mathematical models of various complexity. In this chapter we start with the integrate-and-fire model, and then consider a set of enhancements so as to approach the behaviour of multiple types of real neurons.作者: sultry 時間: 2025-3-28 07:07 作者: EWER 時間: 2025-3-28 11:05
Noise in Neurons and Other Constraints,e action potential, the fundamental electrical signal of the brain, because malfunction of the action potential causes many neurological conditions. The action potential is mediated by the concerted action of voltagegated ion channels and relating the properties of these signalling molecules to the 作者: 烤架 時間: 2025-3-28 15:13
Methodological Issues in Modelling at Multiple Levels of Description, complex systems we know of. All these factors conspire to make the status, and process, of building models in these areas problematic. Oftentimes modellers make tacit assumptions about their general approach, but we would argue that such assumptions should be explicit, and that establishing sound m作者: 阻擋 時間: 2025-3-28 21:20 作者: 彎曲道理 時間: 2025-3-29 02:33
Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity,nectivity make it difficult, if not impossible, to perform realistic simulations of activity at millimetre range or beyond. Furthermore, it is becoming increasingly clear that a range of non-neuronal and stochastic factors influence neuronal excitability, and must be taken into account when developi作者: 無能力 時間: 2025-3-29 03:55 作者: 喚起 時間: 2025-3-29 07:24 作者: Gingivitis 時間: 2025-3-29 15:29
Axonal Growth and Targeting,les. Correct axonal guidance involves directing the tips of individual axons and their branches, interactions between branches of a single axon, and interactions between axons of different neurons. In this chapter, we describe examples of models operating at and between each of these scales.作者: mydriatic 時間: 2025-3-29 17:16 作者: Factorable 時間: 2025-3-29 20:26
NeuroML,etworks of such cells positioned and synaptically connected in 3D can also be described. In this chapter we present an overview of the history of NeuroML, a brief description of the current version of the language, plans for future developments and the relationship to other standardisation initiativ作者: 開花期女 時間: 2025-3-29 23:53
Franz Wever,Wilhelm Wink,Werner Jellinghausroughput technologies such as microarrays and data analysis. The power of this approach allowed to study complex biological functions as well as diseases. In this chapter, we introduce functional genomics and describe the statistical methods that are used to find differentially expressed genes. We a作者: 彩色 時間: 2025-3-30 06:31 作者: 格子架 時間: 2025-3-30 09:59 作者: 懸掛 時間: 2025-3-30 12:57 作者: 燕麥 時間: 2025-3-30 18:27
Historical overview of vascular anastomoses, signaling systems often focus solely on biochemical reaction pathways. Models developed from these data implicitly assume that reactions occur in well mixed homogenous environments with instantaneous diffusion. However, if we have any hope of building truly predictive quantitative models, the intri作者: 搖曳的微光 時間: 2025-3-30 21:02
Historical overview of vascular anastomoses,the activity of single neurons can be done by mathematical models of various complexity. In this chapter we start with the integrate-and-fire model, and then consider a set of enhancements so as to approach the behaviour of multiple types of real neurons.作者: 閹割 時間: 2025-3-31 02:29
Historical overview of vascular anastomoses, and works well to predict and understand physiological properties. The mark of a successful theory is that people take it for granted and use it casually. Single neuronal models are no longer remarkable: with the theory well in hand, most interesting questions using models have moved to the network作者: overshadow 時間: 2025-3-31 06:12 作者: Corroborate 時間: 2025-3-31 09:36
Historical overview of vascular anastomoses, complex systems we know of. All these factors conspire to make the status, and process, of building models in these areas problematic. Oftentimes modellers make tacit assumptions about their general approach, but we would argue that such assumptions should be explicit, and that establishing sound m作者: Incisor 時間: 2025-3-31 15:48
Historical overview of vascular anastomoses,nsects and mice. By comparison most neuronal network models developed and simulated up to now have been tiny, comprising many orders of magnitude less neurons than their real counterpart, with an even more dramatic difference when it comes to the number of synapses. In this chapter we discuss why an作者: 粘土 時間: 2025-3-31 19:50
https://doi.org/10.1007/978-3-7985-1715-8nectivity make it difficult, if not impossible, to perform realistic simulations of activity at millimetre range or beyond. Furthermore, it is becoming increasingly clear that a range of non-neuronal and stochastic factors influence neuronal excitability, and must be taken into account when developi
