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Function of biological asymmetrical neural networks
1997Nonlinearity is an important factor in the biological neural networks. The motion perception and learning in them have been studied on the simplest type of nonlinearity, multiplication. In this paper, asymmetrical neural networks with nonlinear function, are studied in the biological neural networks. Then, the nonlinear higher-order system is discussed
Naohiro Ishii, Ken-ichi Naka
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Spatiotemporal activities of a pulse-coupled biological neural network
, 2018K. K. Mineeja, Rose P. Ignatius
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Review on chaotic dynamics of memristive neuron and neural network
Nonlinear dynamics, 2021Hairong Lin +5 more
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Plausible Neural Networks for Biological Modelling
2001Preface. Part I: Fundamentals. 1. Biological Evidence for Synapse Modification Relevant for Neural Network Modelling J.E. Vos. 2. What is Different with Spiking Neurons W. Gerstner. 3. Recurrent Neural Networks: Properties and Models J.-P. Draye. 4. A Derivation of the Learning Rules for Dynamic Recurrent Neural Networks H.A.K. Mastebroek.
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Identification and monitoring of biological neural network
2007 IEEE International Symposium on Circuits and Systems, 2007W. Tang, Yu Mao, L. Kocarev
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A Comparison of Optimization Algorithms for Biological Neural Network Identification
IEEE transactions on industrial electronics (1982. Print), 2010J. J. Yin, W. Tang, K. Man
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