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进化发育神经计算(Evol. Developmental Neural Computation)

已有 5108 次阅读 2012-7-5 07:42 |系统分类:论文交流| 认知, 计算神经科学, 进化发育神经计算


近年来试图做一些神经网络进化,发育和可塑性建模方面的研究,最近发表的部分论文如下。如对某篇论文感兴趣,欢迎索取并批评指正。

1. J. Chrol-Cannon, A. Gruning, Y. Jin. The emergence of polychronous groups under varying input. IJCNN 2012
2. J. Yin, Y. Meng and Y. Jin. A developmental approach to structural self-organization in reservoir computing. IEEE Transactions on Autonomous Mental Development, 2012
3. D. Bush and Y. Jin. Calcium control of triphasic hippocampal STDP. Journal of Computational Neuroscience. 2012
4. B. Inden, Y. Jin, R. Haschke, H. Ritter. Evolving neural fields for problems with large input and output spaces. Neural Networks, 28:24-39, 2012
5. L. Schramm, Y. Jin, and B. Sendhoff. Evolution and analysis of genetic networks for stable cellular growth and regeneration. Artificial Life, 2012
6. Y. Meng, Y. Jin and J. Yin. Modelling activity-dependent plasticity in BCM spiking neural networks with application to human behaviour recognition. IEEE Transactions on Neural Networks, 22(12):1952-1966, 2011
7. L. Schramm, Y. Jin, B. Sendhoff. Emerged coupling of motor control and morphological development in evolution of multi-cellular animates. 10th European Conference on Artificial Life, Budapest, September 2009
8. B. Jones, Y. Jin, B. Sendhoff, and X. Yao. Emerged optimal distribution of computational workload in the evolution of an undulatory animat. The 11th International Conference on Simulation of Adaptive Behaviors (SAB 2010), August 24-28, 2010
9. B. Jones, Y. Jin, B. Sendhoff, and X. Yao. The effect of proprioceptive feedback on the distribution of sensory information in a model of an undulating organism. 10th European Conference on Artificial Life, Budapest, September 2009
10. B. Jones, Y. Jin, B. Sendhoff, and X. Yao. Evolving functional symmetry in a three dimensional model of an elongated organism. Artificial Life XI, pp.305-312, 2008
11. Y. Jin, L. Schramm, and B. Sendhoff. A gene regulatory model for the development of primitive nervous systems. INNS-NNN Symposia on Modeling the Brain and Nervous Systems, November 2008, Auckland, New Zealand, LNCS 5506, pp.48-55, 2009


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