Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks

[1]  J. Changeux,et al.  Alterations of cortical pyramidal neurons in mice lacking high-affinity nicotinic receptors , 2010, Proceedings of the National Academy of Sciences.

[2]  Jen-Yung Chen,et al.  A Simulation Study Investigating the Impact of Dendritic Morphology and Synaptic Topology on Neuronal Firing Patterns , 2010, Neural Computation.

[3]  M. Fay,et al.  Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. , 2010, Statistics surveys.

[4]  Sean L. Hill,et al.  An Approach to Capturing Neuron Morphological Diversity , 2009 .

[5]  Randal A. Koene,et al.  NETMORPH: A Framework for the Stochastic Generation of Large Scale Neuronal Networks With Realistic Neuron Morphologies , 2009, Neuroinformatics.

[6]  Nir Friedman,et al.  Probabilistic Graphical Models - Principles and Techniques , 2009 .

[7]  Dmitri B Chklovskii,et al.  Maximization of the connectivity repertoire as a statistical principle governing the shapes of dendritic arbors , 2009, Proceedings of the National Academy of Sciences.

[8]  Gabriel Wittum,et al.  The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology , 2009, Neuroinformatics.

[9]  Ronald E. Goldstein,et al.  Principles and techniques , 2009 .

[10]  Giorgio A Ascoli,et al.  Quantifying neuronal size: summing up trees and splitting the branch difference. , 2008, Seminars in cell & developmental biology.

[11]  Eric O. Postma,et al.  Non-parametric Algorithmic Generation of Neuronal Morphologies , 2008, Neuroinformatics.

[12]  E. P. Gardner,et al.  Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex , 2008, Nature Reviews Neuroscience.

[13]  J. DeFelipe.  The Neuroanatomist's Dream, the Problems and Solutions, and the Ultimate Aim , 2008, Front. Neurosci..

[14]  Giorgio A. Ascoli,et al.  A Comparative Computer Simulation of Dendritic Morphology , 2008, PLoS Comput. Biol..

[15]  N. Spruston.  Pyramidal neurons: dendritic structure and synaptic integration , 2008, Nature Reviews Neuroscience.

[16]  Eric O. Postma,et al.  EvOL-Neuron: Neuronal morphology generation , 2008, Neurocomputing.

[17]  Olivier Pourret,et al.  Bayesian networks : a practical guide to applications , 2008 .

[18]  G. Ascoli,et al.  NeuroMorpho.Org: A Central Resource for Neuronal Morphologies , 2007, The Journal of Neuroscience.

[19]  Giorgio A. Ascoli,et al.  Successes and Rewards in Sharing Digital Reconstructions of Neuronal Morphology , 2007, Neuroinformatics.

[20]  Gayle Tucker,et al.  A new approach to reconstruction models of dendritic branching patterns. , 2007, Mathematical biosciences.

[21]  H. Reichert,et al.  Evolution of Nervous Systems , 2007 .

[22]  G. Elston.  Specialization of the Neocortical Pyramidal Cell during Primate Evolution , 2007 .

[23]  Eric O. Postma,et al.  Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[24]  Sanjeev R. Kulkarni,et al.  A Nearest-Neighbor Approach to Estimating Divergence between Continuous Random Vectors , 2006, 2006 IEEE International Symposium on Information Theory.

[25]  Rafael Yuste,et al.  Dendritic size of pyramidal neurons differs among mouse cortical regions. , 2006, Cerebral cortex.

[26]  Artur Luczak.  Spatial embedding of neuronal trees modeled by diffusive growth , 2006, Journal of Neuroscience Methods.

[27]  Eric O. Postma,et al.  On the Neuronal Morphology-Function Relationship: A Synthetic Approach , 2006, KDECB.

[28]  Rafael Rumí,et al.  Learning hybrid Bayesian networks using mixtures of truncated exponentials , 2006, Int. J. Approx. Reason..

[29]  H. Markram.  The Blue Brain Project , 2006, Nature Reviews Neuroscience.

[30]  Giorgio A. Ascoli,et al.  Local Diameter Fully Constrains Dendritic Size in Basal but not Apical Trees of CA1 Pyramidal Neurons , 2005, Journal of Computational Neuroscience.

[31]  Jaap van Pelt and Harry B.M. Uylings.  Natural Variability in the Geometry of Dendritic Branching Patterns , 2005 .

[32]  J. DeFelipe,et al.  On dendrites in Down syndrome and DS murine models: a spiny way to learn , 2004, Progress in Neurobiology.

[33]  Erik De Schutter,et al.  Passive models of neurons in the deep cerebellar nuclei: the effect of reconstruction errors , 2004, Neurocomputing.

[34]  P. Hamilton.  A language to describe the growth of neurites , 2004, Biological Cybernetics.

[35]  Gregory F. Cooper,et al.  A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.

[36]  Rafael Yuste,et al.  Genesis of dendritic spines: insights from ultrastructural and imaging studies , 2004, Nature Reviews Neuroscience.

[37]  Philippe Leray,et al.  BNT STRUCTURE LEARNING PACKAGE : Documentation and Experiments , 2004 .

[38]  Bartlett W. Mel,et al.  Dendrites: bug or feature? , 2003, Current Opinion in Neurobiology.

[39]  G. Ascoli,et al.  Statistical morphological analysis of hippocampal principal neurons indicates cell‐specific repulsion of dendrites from their own cell , 2003, Journal of neuroscience research.

[40]  Bob Jacobs,et al.  Regional Dendritic Variation in Primate Cortical Pyramidal Cells , 2002 .

[41]  Timo Pukkala,et al.  Application of ecological field theory in distance-dependent growth modelling , 2002 .

[42]  A. Sumida,et al.  Spatial arrangement of branches in relation to slope and neighbourhood competition. , 2002, Annals of botany.

[43]  Jaap van Pelt,et al.  Measures for quantifying dendritic arborizations , 2002, Network.

[44]  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.

[45]  Liqun Luo,et al.  How do dendrites take their shape? , 2001, Nature Neuroscience.

[46]  H. Cline,et al.  Dendritic arbor development and synaptogenesis , 2001, Current Opinion in Neurobiology.

[47]  M. Häusser,et al.  Propagation of action potentials in dendrites depends on dendritic morphology. , 2001, Journal of neurophysiology.

[48]  Arjen van Ooyen,et al.  Modeling Dendritic Geometry and the Development of Nerve Connections , 2000 .

[49]  Christof Koch,et al.  The role of single neurons in information processing , 2000, Nature Neuroscience.

[50]  A. McAllister,et al.  Cellular and molecular mechanisms of dendrite growth. , 2000, Cerebral cortex.

[51]  C. Masson,et al.  Statistical analysis and parsimonious modelling of dendrograms of in vitro neurones , 2000, Bulletin of mathematical biology.

[52]  Jeffrey L. Krichmar,et al.  L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology , 2000, Neurocomputing.

[53]  H. Moser,et al.  Dendritic anomalies in disorders associated with mental retardation. , 1999, Cerebral cortex.

[54]  H. Hentschel,et al.  Models of axon guidance and bundling during development , 1999, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[55]  Nir Friedman,et al.  Data Analysis with Bayesian Networks: A Bootstrap Approach , 1999, UAI.

[56]  Harry B. M. Uylings,et al.  Modeling the natural variability in the shape of dendritic trees: Application to basal dendrites of small rat cortical layer 5 pyramidal neurons , 1999, Neurocomputing.

[57]  Paul J. Krause,et al.  Learning probabilistic networks , 1999, The Knowledge Engineering Review.

[58]  Sanford Weisberg,et al.  Computing science and statistics : proceedings of the 30th Symposium on the Interface, Minneapolis, Minnesota, May 13-16, 1998 : dimension reduction, computational complexity and information , 1998 .

[59]  Kevin Murphy,et al.  Bayes net toolbox for Matlab , 1999 .

[60]  David Heckerman,et al.  A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.

[61]  Carol M. Petito.  The Synaptic Organization of the Brain, 4th Ed , 1998 .

[62]  R. C Cannon,et al.  An on-line archive of reconstructed hippocampal neurons , 1998, Journal of Neuroscience Methods.

[63]  J. Sweeney,et al.  Computer model: investigating role of filopodia-based steering in experimental neurite galvanotropism. , 1997, Journal of theoretical biology.

[64]  G. Elston,et al.  The occipitoparietal pathway of the macaque monkey: comparison of pyramidal cell morphology in layer III of functionally related cortical visual areas. , 1997, Cerebral cortex.

[65]  Huaiyu Zhu.  On Information and Sufficiency , 1997 .

[66]  Nir Friedman,et al.  On the Sample Complexity of Learning Bayesian Networks , 1996, UAI.

[67]  T. Sejnowski,et al.  The Monetary Transmission Mechanism in the United Kingdom: Pass-Through and Policy Rules. manuscript , 1996 .

[68]  David Heckerman,et al.  Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets , 1996, Artif. Intell..

[69]  G. Li,et al.  A model for neurite growth and neuronal morphogenesis. , 1996, Mathematical biosciences.

[70]  J van Pelt,et al.  Terminal and intermediate segment lengths in neuronal trees with finite length. , 1993, Bulletin of mathematical biology.

[71]  J. DeFelipe,et al.  The pyramidal neuron of the cerebral cortex: Morphological and chemical characteristics of the synaptic inputs , 1992, Progress in Neurobiology.

[72]  A. Larkman.  Dendritic morphology of pyramidal neurones of the visual cortex of the rat: I. Branching patterns , 1991, The Journal of comparative neurology.

[73]  E M Glaser,et al.  Neuron imaging with Neurolucida--a PC-based system for image combining microscopy. , 1990, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[74]  E. White.  Cortical Circuits: Synaptic Organization of the Cerebral Cortex , 1989 .

[75]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems , 1988 .

[76]  H. B. M. Uylings,et al.  The metric analysis of three-dimensional dendritic tree patterns: a methodological review , 1986, Journal of Neuroscience Methods.

[77]  Robert Tibshirani,et al.  Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy , 1986 .

[78]  R. R. Sturrock,et al.  Problems of the Keimbahn: New Work on Mammalian Germ Cell Lineage , 1985 .

[79]  T. Poggio,et al.  Retinal ganglion cells: a functional interpretation of dendritic morphology. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[80]  Grzegorz Rozenberg,et al.  The mathematical theory of L systems , 1980 .

[81]  G. Shepherd.  The Synaptic Organization of the Brain , 1979 .

[82]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[83]  F. Wilcoxon.  Individual Comparisons by Ranking Methods , 1945 .

[84]  HighWire Press.  Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.