On the Neuronal Morphology-Function Relationship: A Synthetic Approach
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[1] Arjen van Ooyen,et al. The effect of dendritic topology on firing patterns in model neurons , 2002, Network.
[2] I Segev,et al. Untangling dendrites with quantitative models. , 2000, Science.
[3] A. Lindenmayer. Mathematical models for cellular interactions in development. I. Filaments with one-sided inputs. , 1968, Journal of theoretical biology.
[4] Michael L. Hines,et al. The NEURON Book , 2006 .
[5] Nancy M. Amato,et al. Neuron PRM: a framework for constructing cortical networks , 2003, Neurocomputing.
[6] D. Chklovskii,et al. Neurogeometry and potential synaptic connectivity , 2005, Trends in Neurosciences.
[7] Erik De Schutter,et al. Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors , 2004, Neurocomputing.
[8] Liqun Luo,et al. How do dendrites take their shape? , 2001, Nature Neuroscience.
[9] J. Rinzel,et al. The role of dendrites in auditory coincidence detection , 1998, Nature.
[10] Jeffrey L. Krichmar,et al. Computer generation and quantitative morphometric analysis of virtual neurons , 2001, Anatomy and Embryology.
[11] T. Sejnowski,et al. [Letters to nature] , 1996, Nature.
[12] Gabriel Wittum,et al. NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D , 2006, Neurocomputing.
[13] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[14] Stuart D. Washington,et al. Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study , 2002, Brain Research.
[15] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[16] G. Ascoli. Mobilizing the base of neuroscience data: the case of neuronal morphologies , 2006, Nature Reviews Neuroscience.
[17] Carsten Duch,et al. Behavioral transformations during metamorphosis: remodeling of neural and motor systems , 2000, Brain Research Bulletin.
[18] Przemyslaw Prusinkiewicz,et al. The Algorithmic Beauty of Plants , 1990, The Virtual Laboratory.
[19] Eric O. Postma,et al. Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[20] G A Ascoli,et al. Generation, description and storage of dendritic morphology data. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[21] A. Lindenmayer. Mathematical models for cellular interactions in development. II. Simple and branching filaments with two-sided inputs. , 1968, Journal of theoretical biology.
[22] T. Sejnowski,et al. Mapping function onto neuronal morphology. , 2007, Journal of neurophysiology.
[23] W. Kath,et al. Computational modeling of dendrites. , 2005, Journal of neurobiology.
[24] Jeffrey L. Krichmar,et al. L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology , 2000, Neurocomputing.
[25] Melanie Mitchell,et al. An introduction to genetic algorithms , 1996 .
[26] C Duch,et al. Remodeling of Membrane Properties and Dendritic Architecture Accompanies the Postembryonic Conversion of a Slow into a Fast Motoneuron , 2000, The Journal of Neuroscience.
[27] Christof Koch,et al. The role of single neurons in information processing , 2000, Nature Neuroscience.
[28] Idan Segev,et al. Sound grounds for computing dendrites , 1998, Nature.