Neural Networks-Intergrated Artificial Life: a New Approach to Study Functional Neural Circuit
Yunpeng Li · Fuza xitong yu fuzaxing kexue · 2007
Study the topological structure evolution of neural networks,by assigning an unconnected simulated small neural groups to interact with the vitural environment. In detail,first,the virtual life's small neural group connected with the central neural where no inter-connection,and no connection between central neural and moving neurons which are activated probably,the food are added to the virtual environment.Moving neurons are auto-activited such that relative move produced between life and food,thus lead to Hebb learning and topological structure change of neural network.Finally,the oretical meaning of simulation results and further improvement of the model is discussed.