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Titlebook: Biomathematics and Related Computational Problems; Luigi M. Ricciardi Book 1988 Kluwer Academic Publishers 1988 Vibration.artificial intel

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樓主: FARCE
31#
發(fā)表于 2025-3-27 00:48:45 | 只看該作者
Walther Busse von Colbe,Dieter Ordelheidece of states, how to construct a net that will perform that sequence during its evolution. Various other topics are also discussed: transients, cycles, and the relation between continuous coefficients and discontinuous behaviour of any such net.
32#
發(fā)表于 2025-3-27 02:31:28 | 只看該作者
33#
發(fā)表于 2025-3-27 07:35:59 | 只看該作者
34#
發(fā)表于 2025-3-27 13:16:48 | 只看該作者
E. G. Bartholomew,Andrew Brown,Jules W. Muisorder nonlinearity observed in the other type of amacrine cells, type-N cells, can be reproduced by linear filtering of type-C cell responses; and 4) linear signals in the bipolar cells and nonlinear signals in amacrine cells are transmitted to ganglion cells and encoded into spike trains without much modification.
35#
發(fā)表于 2025-3-27 16:53:48 | 只看該作者
36#
發(fā)表于 2025-3-27 21:43:26 | 只看該作者
37#
發(fā)表于 2025-3-27 21:58:04 | 只看該作者
38#
發(fā)表于 2025-3-28 02:28:11 | 只看該作者
39#
發(fā)表于 2025-3-28 08:32:54 | 只看該作者
Spatio-Temporal Patterns of Activity in Neural Systems: Simulation and Analysisated in real nervous systems. A preparation that allows direct visualisation of space-time patterns generated by part of an invertebrate nervous system is described. An open question is how to classify and quantify these space-time patterns, to compare the behaviour of different models, and ultimate
40#
發(fā)表于 2025-3-28 14:28:34 | 只看該作者
Statistical Inference for Stochastic Neuronal Modelshe problem the neuron spike train is modelled by doubly stochastic Poisson process and filtering theory is applied to estimate the random intensity functions of the process. Two different models are proposed and the methods of statistical inference for evoked neuronal activity are derived on their b
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