Identification of Biological Neural Network Using Jumping Gene Genetic Algorithm

In this paper, a jumping gene genetic algorithm is adopted to identify the topology of biological neural networks. The neural network is modeled with Hindmarsh-Rose neurons with synaptic coupling. Based on a single observable state of each neuron, it is possible to reveal the topology of the entire network under a framework of synchronization. The simulation results demonstrate that the topological structure of a neural network can be estimated accurately even if the exact models of the neurons are unknown.

[1]  Ljupco Kocarev,et al.  Synchronization in power-law networks. , 2005, Chaos.

[2]  David Botstein,et al.  McClintock Myths. (Book Reviews: The Dynamic Genome. Barbara McClintock's Ideas in the Century of Genetics.) , 1992 .

[3]  Kim-Fung Man,et al.  A Jumping-Genes Paradigm for Optimizing Factory WLAN Network , 2007, IEEE Transactions on Industrial Informatics.

[4]  J. Kurths,et al.  Enhancing complex-network synchronization , 2004, cond-mat/0406207.

[5]  Wang Xiaofan.  SYNCHRONIZATION IN COMPLEX DYNAMICAL NETWORKS , 2003 .

[6]  Bernd Michaelis,et al.  Synchronization in Complex Dynamical Networks , 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

[7]  M. Paradiso,et al.  Neuroscience: Exploring the Brain , 1996 .

[8]  Kim-Fung Man,et al.  A Jumping Gene Paradigm for Evolutionary Multiobjective Optimization , 2008, IEEE Transactions on Evolutionary Computation.

[9]  Kim-Fung Man,et al.  A Jumping Gene Algorithm for Multiobjective Resource Management in Wideband CDMA Systems , 2005, Comput. J..

[10]  M.H. Hassoun,et al.  Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.

[11]  Eugene M. Izhikevich,et al.  Which model to use for cortical spiking neurons? , 2004, IEEE Transactions on Neural Networks.

[12]  Martin Hasler,et al.  Synchronization of bursting neurons: what matters in the network topology. , 2005, Physical review letters.

[13]  J. Hindmarsh,et al.  A model of neuronal bursting using three coupled first order differential equations , 1984, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[14]  T.M. Chan,et al.  Multiobjective optimization of radio-to-fiber repeater placement a jumping gene algorithm , 2005, 2005 IEEE International Conference on Industrial Technology.