Titlebook: Analysis of Neural Networks; Uwe Heiden Book 1980 Springer-Verlag Berlin Heidelberg 1980 Analysis.Biomathematik.Nervennetz.Nervous System.

補(bǔ)充

Oscillations in neural networks,1977). At a higher level oscillations of whole cell populations are known, e. g. in the olfactory bulb (Freeman, 1975) or those reflected by the EEG. Two further important examples are the respiratory and circulatory systems, the rhythms of which are governed by neural activity.

巨大沒(méi)有

發(fā)展

表皮

Morphological Aspects of Fungal Dimorphisme cells. In the following a model as flexible as possible for the interaction of neurons and for the activity in neural networks will be developed. The model will be derived from the basic properties and interaction principles common to many types of nerve cells so far observed. A characteristic fea

鄙視讀作

faculty

Hugo Bossche,Frank C. Odds,David Kerridgee settled whether by these equations for each point of time a unique state of the network is determined. Difficulties can be encountered if the model contains a contradiction. In this case the system (1.13) (or (1.16)) has no solution (existence problem). Another difficulty arises if the equations d

高度

常到

Analysis of Neural Networks978-3-642-45517-9Series ISSN 0341-633X Series E-ISSN 2196-9981

抗生素

Banister

https://doi.org/10.1007/978-3-642-11024-5Whereas the previous chapter dealt with the stationary behavior of neural networks this chapter is the first one concerned with the time-dependent properties, i. e. the dynamics of such nets. These properties are reflected by the time-dependent solutions of system (1.15), which for convenience is restated here: