Titlebook: Weakly Connected Neural Networks; Frank C. Hoppensteadt,Eugene M. Izhikevich Book 1997 Springer Science+Business Media New York 1997 biolo

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書目名稱Weakly Connected Neural Networks影響因子(影響力)




書目名稱Weakly Connected Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Weakly Connected Neural Networks網(wǎng)絡(luò)公開度




書目名稱Weakly Connected Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Weakly Connected Neural Networks被引頻次




書目名稱Weakly Connected Neural Networks被引頻次學(xué)科排名




書目名稱Weakly Connected Neural Networks年度引用




書目名稱Weakly Connected Neural Networks年度引用學(xué)科排名




書目名稱Weakly Connected Neural Networks讀者反饋




書目名稱Weakly Connected Neural Networks讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-1-4612-1828-9biology; calculus; differential equation; neural network; neurons; neuroscience

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Weakly Connected Neural Networks978-1-4612-1828-9Series ISSN 0066-5452 Series E-ISSN 2196-968X

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IntroductionIn this chapter we give definitions and explanations of basic neurophysio-logical terminology that we use in the book. We do not intend to provide a comprehensive background on various topics.

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Saddle-Node on a Limit CycleIn this chapter we study a weakly connected network . of neurons each having a saddle-node bifurcation on a limit cycle. Such neurons are said to have Class 1 neural excitability. This bifurcation provides an important example of when local analysis at an equilibrium renders global information about the system behavior.

REP

Quasi-Static BifurcationsIn this chapter we analyze the canonical models (6.17) and (6.24) for singu-larly perturbed WCNNs at quasi-static saddle-node and quasi-static cusp bifurcations. In particular, we consider the canonical models in the special case ..

IVORY

否決

Synaptic Organizations of the BrainIn this chapter we study the relationship between synaptic organizations and dynamical properties of networks of neural oscillators. In particular, we are interested in which synaptic organizations can memorize and reproduce phase information. Most of our results are obtained for neural oscillators near multiple Andronov-Hopf bifurcations.