標(biāo)題: Titlebook: Neural Modeling; Electrical Signal Pr Ronald J. MacGregor,Edwin R. Lewis Book 1977 Plenum Press, New York 1977 Nervous System.brain.neural [打印本頁] 作者: 共用 時間: 2025-3-21 17:50
書目名稱Neural Modeling影響因子(影響力)
書目名稱Neural Modeling影響因子(影響力)學(xué)科排名
書目名稱Neural Modeling網(wǎng)絡(luò)公開度
書目名稱Neural Modeling網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Modeling被引頻次
書目名稱Neural Modeling被引頻次學(xué)科排名
書目名稱Neural Modeling年度引用
書目名稱Neural Modeling年度引用學(xué)科排名
書目名稱Neural Modeling讀者反饋
書目名稱Neural Modeling讀者反饋學(xué)科排名
作者: AGGER 時間: 2025-3-21 20:35
Models of Specific Neural Networksor comprehensive coverage of vertebrate networks or even of models for those networks considered. However, the collection of models contained here can be considered representative of the state of the art in this area generally.作者: Distribution 時間: 2025-3-22 03:56 作者: STALL 時間: 2025-3-22 06:34
https://doi.org/10.1007/978-1-4684-2190-3Nervous System; brain; neural modeling; neuroscience; signal processing作者: 揭穿真相 時間: 2025-3-22 10:54 作者: 傀儡 時間: 2025-3-22 13:39 作者: 干旱 時間: 2025-3-22 17:26
Signal Processing in Nervous Systemsrst successful laboratory measurements of the nerve impulse in the mid-19th century, he wrote: “If I do not greatly deceive myself, I have succeeded in realizing in full actuality… the hundred years’ dream of physicists and physiologists, to wit, the identification of the nervous principle with elec作者: gerrymander 時間: 2025-3-22 22:37 作者: Gyrate 時間: 2025-3-23 03:05 作者: 槍支 時間: 2025-3-23 09:33 作者: 憂傷 時間: 2025-3-23 11:49
Models of Signal Generation in Neural Elementsus activity in neurons. The common feature of these three topics is the generation of signals in the nervous system. Since the nervous system generally is viewed as a processor of signals, it seems natural to present models concerning the generation of those signals early in our discussion. It is qu作者: agonist 時間: 2025-3-23 14:02
Models of Distributed Passive Membraneembrane, but we have ignored gradients and flows directed tangential to its surfaces, and in doing so we have ignored mechanisms by which receptor responses and synaptic responses can spread from one region of the neuron to another. As we mentioned in Chapters 1 and 2, local regions of a neuron are 作者: 惰性氣體 時間: 2025-3-23 20:32 作者: 陰郁 時間: 2025-3-23 23:37 作者: Ostrich 時間: 2025-3-24 03:43
Stochastic Models of Neuron Activitypically tried to predict the relative occurrence of time intervals of various durations between the adjacent spikes in an output spike train which is produced by applying the threshold rule to some assumed random distribution of input events. This problem has been found to be virtually unsolvable ma作者: Organization 時間: 2025-3-24 09:32
Statistical Analysis of Neuronal Spike Trainsity of a nervous network as consisting of a large number of ongoing simultaneous time series of events (spike trains) emerging from all the constituent cells. The output train of any particular cell reflects the ongoing input trains at each of some several hundred or even thousands of synapses. Vari作者: Cervical-Spine 時間: 2025-3-24 12:45
Models of Neuron Poolss to thousands of neurons. The motivation behind this work is the possibility of understanding the overall dynamics of large masses of neural tissue in terms of such pools, on the one hand, and to understand the properties of such pools in terms of their individual constituent neurons, on the other.作者: 潰爛 時間: 2025-3-24 15:23
Models of Large Networks: Analytic Approaches1 considered techniques for analyzing up to hundreds or thousands of interconnected cells. In this and the next chapter we consider techniques for predicting the activity of vast numbers of interconnected neurons, say, from tens of thousands to millions or more. We will find that the various existin作者: 翅膀拍動 時間: 2025-3-24 21:15 作者: Tincture 時間: 2025-3-25 00:59
Models of Field Potentials, Slow Waves, and the EEG single neurons. There exists, however, another class of recordings which measure continuous, graded and more slowly fluctuating waves of activity thought to represent the combined activity of large numbers of neurons or of large regions of neuronal tissue. Such recordings are usually made with macr作者: 反話 時間: 2025-3-25 04:48
Models of Specific Neural Networksor comprehensive coverage of vertebrate networks or even of models for those networks considered. However, the collection of models contained here can be considered representative of the state of the art in this area generally.作者: LAY 時間: 2025-3-25 09:20 作者: Lacunar-Stroke 時間: 2025-3-25 13:02 作者: Minikin 時間: 2025-3-25 19:26
Models of Signal Generation in Neural Elementsmight limit our discussion here to models of sensory receptors and models of spontaneous signal generation, considering synaptic action to involve the transmission of preexisting signals rather than the generation of new signals. Indeed, we shall consider direct electrical communication between neur作者: NOMAD 時間: 2025-3-25 21:39 作者: Lipoprotein 時間: 2025-3-26 03:56 作者: certain 時間: 2025-3-26 08:00
Book 1977ary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely atte作者: 精確 時間: 2025-3-26 11:17
contemporary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely atte978-1-4684-2192-7978-1-4684-2190-3作者: Immobilize 時間: 2025-3-26 13:58 作者: faculty 時間: 2025-3-26 19:54 作者: 割讓 時間: 2025-3-26 21:11
Statistical Analysis of Neuronal Spike Trainse other component which might comprise a “signal,” it is certainly clear that the methods and concepts of stochastic processes applied on an operational level can help to reveal many characteristics of neuroelectric events not readily apparent in other ways.作者: FEMUR 時間: 2025-3-27 02:44
The Idealized “Standard Neuron”sed here, although in themselves not sufficient to account for all neural operation, seem to be essential ingredients used by the brain in its ongoing signal processing and certainly comprise essential background material for understanding contemporary research in the area.作者: 勤勞 時間: 2025-3-27 09:19
Models of Spike Generation and Conductionrelated to the triggering of spikes by generator potentials and the subsequent attenuationless propagation of those spikes along neuronal fibers. We will progress from the iron-wire analogy of the 1920s, through the threshold/accommodation models of the 1930s, to the Hodgkin-Huxley model of the early 1950s.作者: reject 時間: 2025-3-27 09:39 作者: Ventilator 時間: 2025-3-27 13:53
bodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and that in unraveling the inherent complexities of this processing it will be essential to utilize the作者: 繁重 時間: 2025-3-27 19:56 作者: foodstuff 時間: 2025-3-27 22:39 作者: Hormones 時間: 2025-3-28 02:20 作者: bioavailability 時間: 2025-3-28 09:02
Models of Large Networks: Computer-Oriented Approaches view of neural-network dynamics which has been taken over, or at least influenced, by many analytically oriented researchers as well, as we saw in the previous chapter. In this chapter we discuss this basic source paper, its ramifications, and several contemporary examples of computer-oriented approaches to large neural networks.作者: 要控制 時間: 2025-3-28 11:47
Models of Passive Membraneconcentration gradient. In writing the Nernst-Planck equation, it is customary to deal with flow densities, i.e., the number of particles flowing through a unit of area in a unit of time. This quantity, usually labeled ., is particularly useful for membranes since one often is interested in the flow of particles through a given area of membrane.作者: 別名 時間: 2025-3-28 16:31 作者: 牽連 時間: 2025-3-28 22:31
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