Dendritic Morphology : Function shapes structure

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[2]  E. Marder,et al.  Similar network activity from disparate circuit parameters , 2004, Nature Neuroscience.

[3]  C. Pennartz,et al.  Is a bird in the hand worth two in the future? The neuroeconomics of intertemporal decision-making , 2008, Progress in Neurobiology.

[4]  M. S. Barbosa,et al.  Characterizing neuromorphologic alterations with additive shape functionals , 2004 .

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

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

[7]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

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

[9]  C. Carr,et al.  Coding interaural time differences at low best frequencies in the barn owl , 2004, Journal of Physiology-Paris.

[10]  A. Borst,et al.  Input Organization of Multifunctional Motion-Sensitive Neurons in the Blowfly , 2003, The Journal of Neuroscience.

[11]  F ROSENBLATT,et al.  The perceptron: a probabilistic model for information storage and organization in the brain. , 1958, Psychological review.

[12]  T. Sejnowski,et al.  [Letters to nature] , 1996, Nature.

[13]  B. Kampa,et al.  Synaptic integration in dendritic trees. , 2005, Journal of neurobiology.

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

[15]  Stephen Coombes,et al.  Spatio-temporal filtering properties of a dendritic cable with active spines: A modeling study in the spike-diffuse-spike framework , 2006, Journal of Computational Neuroscience.

[16]  G. Shepherd,et al.  An integrated approach to classifying neuronal phenotypes , 2005, Nature Reviews Neuroscience.

[17]  Thomas Euler,et al.  Dendritic processing , 2001, Current Opinion in Neurobiology.

[18]  H. Markram,et al.  Interneurons of the neocortical inhibitory system , 2004, Nature Reviews Neuroscience.

[19]  G. Ascoli,et al.  Quantitative morphometry of hippocampal pyramidal cells: Differences between anatomical classes and reconstructing laboratories , 2004, The Journal of comparative neurology.

[20]  Wolfgang Maass,et al.  Networks of Spiking Neurons: The Third Generation of Neural Network Models , 1996, Electron. Colloquium Comput. Complex..

[21]  W. Cameron,et al.  Morphometric analysis of phrenic motoneurons in the cat during postnatal development , 1991, The Journal of comparative neurology.

[22]  B. Hassenstein,et al.  Systemtheoretische Analyse der Zeit-, Reihenfolgen- und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus , 1956 .

[23]  H. Kleindienst,et al.  Sound localization in intact and one-eared crickets , 2004, Journal of Comparative Physiology A.

[24]  Bartlett W. Mel,et al.  Computational subunits in thin dendrites of pyramidal cells , 2004, Nature Neuroscience.

[25]  D. Prince,et al.  Intrathalamic rhythmicity studied in vitro: nominal T-current modulation causes robust antioscillatory effects , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[26]  Bruce Howard McCormick,et al.  L-system modeling of neurons , 1994, Other Conferences.

[27]  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.

[28]  L. Devroye.  Non-Uniform Random Variate Generation , 1986 .

[29]  C. W. G Clifford,et al.  Fundamental mechanisms of visual motion detection: models, cells and functions , 2002, Progress in Neurobiology.

[30]  A. Borst,et al.  Encoding of Visual Motion Information and Reliability in Spiking and Graded Potential Neurons , 1997, The Journal of Neuroscience.

[31]  Guosong Liu,et al.  Local structural balance and functional interaction of excitatory and inhibitory synapses in hippocampal dendrites , 2004, Nature Neuroscience.

[32]  N. L. Hayes,et al.  Competitive interactions during dendritic growth: a simple stochastic growth algorithm , 1992, Brain Research.

[33]  D. Hess,et al.  Activity-dependent release of transforming growth factor-beta in a neuronal network in vitro , 2007, Neuroscience.

[34]  Dario Floreano,et al.  Neural morphogenesis, synaptic plasticity, and evolution , 2001, Theory in Biosciences.

[35]  E. Marder,et al.  Variability, compensation and homeostasis in neuron and network function , 2006, Nature Reviews Neuroscience.

[36]  U. Kuhnt,et al.  Morphological features of physiologically identified hypothalamic neurons as revealed by intracellular marking , 1979, Experimental Brain Research.

[37]  W. Singer,et al.  Integrator or coincidence detector? The role of the cortical neuron revisited , 1996, Trends in Neurosciences.

[38]  J. Rinzel,et al.  The role of dendrites in auditory coincidence detection , 1998, Nature.

[39]  Chung-Hui Yang,et al.  The Development of Neuronal Morphology in Insects , 2005, Current Biology.

[40]  G. Feng,et al.  Dynamic Remodeling of Dendritic Arbors in GABAergic Interneurons of Adult Visual Cortex , 2005, PLoS biology.

[41]  Richard Stuart Neville,et al.  Transformations of sigma-pi nets: obtaining reflected functions by reflecting weight matrices , 2002, Neural Networks.

[42]  Susan L. Wearne,et al.  Neuronal Firing Sensitivity to Morphologic and Active Membrane Parameters , 2007, PLoS Comput. Biol..

[43]  Andrew Philippides,et al.  Neuronal Plasticity and Temporal Adaptivity: GasNet Robot Control Networks , 2002, Adapt. Behav..

[44]  G. Shepherd,et al.  Emerging rules for the distributions of active dendritic conductances , 2002, Nature Reviews Neuroscience.

[45]  Idan Segev,et al.  Sound grounds for computing dendrites , 1998, Nature.

[46]  N. Strausfeld,et al.  Visual Motion-Detection Circuits in Flies: Parallel Direction- and Non-Direction-Sensitive Pathways between the Medulla and Lobula Plate , 1996, The Journal of Neuroscience.

[47]  Geoffrey E. Hinton.  Learning multiple layers of representation , 2007, Trends in Cognitive Sciences.

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

[49]  Richard E. Neapolitan,et al.  Learning Bayesian networks , 2007, KDD '07.

[50]  Daniel Johnston,et al.  Voltage-gated ion channels in dendrites of hippocampal pyramidal neurons , 2006, Pflügers Archiv.

[51]  Arthur N Popper,et al.  Dendritic arbors on the saccule and lagena in the ear of the goldfish, Carassius auratus , 2000, Hearing Research.

[52]  C. Vickers,et al.  Late‐phase, protein synthesis‐dependent long‐term potentiation in hippocampal CA1 pyramidal neurones with destabilized microtubule networks , 2007, British journal of pharmacology.

[53]  Alexander Borst,et al.  The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties , 1996, Journal of Computational Neuroscience.

[54]  Erik De Schutter,et al.  Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models , 2007, BMC Neuroscience.

[55]  Nigel Shadbolt,et al.  Growth and repair: Instantiating a biologically inspired model of neuronal development on the Khepera robot , 2001, Robotics Auton. Syst..

[56]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[57]  Gabriel Wittum,et al.  NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D , 2006, Neurocomputing.

[58]  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.

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

[60]  E. Marder,et al.  Failure of averaging in the construction of a conductance-based neuron model. , 2002, Journal of neurophysiology.

[61]  Qiusheng Li,et al.  Prediction of wind-induced pressures on a large gymnasium roof using artificial neural networks , 2007 .

[62]  W. Reichardt,et al.  Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system. , 1989, Journal of the Optical Society of America. A, Optics and image science.

[63]  Christian P. Robert,et al.  The Bayesian choice : from decision-theoretic foundations to computational implementation , 2007 .

[64]  W S McCulloch,et al.  A logical calculus of the ideas immanent in nervous activity , 1990, The Philosophy of Artificial Intelligence.

[65]  R. L. Hyson.  The analysis of interaural time differences in the chick brain stem , 2005, Physiology & Behavior.

[66]  Alexander Borst,et al.  The Intrinsic Electrophysiological Characteristics of Fly Lobula Plate Tangential Cells: III. Visual Response Properties , 1999, Journal of Computational Neuroscience.

[67]  A. Borst,et al.  Dendritic integration and its role in computing image velocity. , 1998, Science.

[68]  Guido C. H. E. de Croon,et al.  Timing is important: delaying action execution in Plastic Neural Networks , 2005, BNAIC.

[69]  J. Bower,et al.  Simulated responses of cerebellar Purkinje cells are independent of the dendritic location of granule cell synaptic inputs. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[70]  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.

[71]  Jon C. Helton,et al.  Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..

[72]  Dendritic sprouting and compensatory synaptogenesis in an identified interneuron follow auditory deprivation in a cricket. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[73]  Yasushi Miyashita,et al.  Dendritic spine geometry is critical for AMPA receptor expression in hippocampal CA1 pyramidal neurons , 2001, Nature Neuroscience.

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

[75]  Matthew P. Wand,et al.  Kernel Smoothing , 1995 .

[76]  Idan Segev.  Single neurone models: oversimple, complex and reduced , 1992, Trends in Neurosciences.

[77]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[78]  N. Spruston,et al.  Determinants of Voltage Attenuation in Neocortical Pyramidal Neuron Dendrites , 1998, The Journal of Neuroscience.

[79]  H. Ohmori,et al.  Tonotopic Specialization of Auditory Coincidence Detection in Nucleus Laminaris of the Chick , 2005, The Journal of Neuroscience.

[80]  Ben Torben-Nielsen.  Evolving Virtual Neuronal Morphologies: A Case Study in Genetic L-Systems Programming , 2007, ECAL.

[81]  Mitchell Glickstein,et al.  Foundations of the neuron doctrine , 1993, Medical History.

[82]  Xiaoxiang Zheng,et al.  A framework for simulating axon guidance , 2005, Neurocomputing.

[83]  Idan Segev,et al.  Compartmental models of complex neurons , 1989 .

[84]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[85]  Vasant Honavar,et al.  Combined Biological Metaphors , 2001 .

[86]  William R. Softky,et al.  Single-cell models , 1998 .

[87]  D. Johnston,et al.  K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons , 1997, Nature.

[88]  Gordon M. Shepherd,et al.  Introduction to Synaptic Circuits , 2004 .

[89]  K. Tuyls,et al.  Towards Robotic Self-repair by means of Neuronal Remodelling , 2006 .

[90]  Dario Floreano,et al.  Evolution of Plastic Control Networks , 2001, Auton. Robots.

[91]  Jonathan Z. Simon,et al.  Modeling coincidence detection in nucleus laminaris , 2003, Biological Cybernetics.

[92]  Riccardo Poli,et al.  Foundations of Genetic Programming , 1999, Springer Berlin Heidelberg.

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

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

[95]  Jaap van Pelt,et al.  Branching rates and growth functions in the outgrowth of dendritic branching patterns , 2002, Network.

[96]  Eric O. Postma,et al.  Evolution of Visual Resolution Constrained by a Trade-off , 2001, Artificial Life.

[97]  Henry Markram,et al.  A Novel Multiple Objective Optimization Framework for Constraining Conductance-Based Neuron Models by Experimental Data , 2007, Front. Neurosci..

[98]  V. Raykar,et al.  Very fast optimal bandwidth selection for univariate kernel density estimation , 2006 .

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

[100]  D. Chklovskii,et al.  Neurogeometry and potential synaptic connectivity , 2005, Trends in Neurosciences.

[101]  Tetsuya Yagi,et al.  Real-time robot vision for collision avoidance inspired by neuronal circuits of insects , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[102]  B. Claiborne,et al.  Dendritic growth and regression in rat dentate granule cells during late postnatal development. , 1990, Brain research. Developmental brain research.

[103]  E. Parzen.  On Estimation of a Probability Density Function and Mode , 1962 .

[104]  Frederic Libersat,et al.  Morphometric analysis of dendritic remodeling in an identified motoneuron during postembryonic development , 2002, The Journal of comparative neurology.

[105]  Barbara Webb,et al.  Directional hearing in a silicon cricket , 2007, Biosyst..

[106]  Eric O. Postma,et al.  Modeling Recognition Memory Using the Similarity Structure of Natural Input , 2006, Cogn. Sci..

[107]  B. Sakmann,et al.  Calcium action potentials restricted to distal apical dendrites of rat neocortical pyramidal neurons , 1997, The Journal of physiology.

[108]  Arjen van Ooyen,et al.  The effect of dendritic topology on firing patterns in model neurons , 2002, Network.

[109]  Cezary Z. Janikow,et al.  A methodology for processing problem constraints in genetic programming , 1996 .

[110]  N. Franceschini,et al.  From insect vision to robot vision , 1992 .

[111]  Sharon Crook,et al.  A model of activity-dependent changes in dendritic spine density and spine structure , 2007, BMC Neuroscience.

[112]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[113]  C. Loader.  Bandwidth selection: classical or plug-in? , 1999 .

[114]  P. Ulinski.  Fundamentals of Computational Neuroscience , 2007 .

[115]  Stephen E. Fienberg,et al.  Testing Statistical Hypotheses , 2005 .

[116]  W. Precht.  The synaptic organization of the brain G.M. Shepherd, Oxford University Press (1975). 364 pp., £3.80 (paperback) , 1976, Neuroscience.

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

[118]  Giorgio A Ascoli,et al.  Statistical determinants of dendritic morphology in hippocampal pyramidal neurons: A hidden Markov model , 2005, Hippocampus.

[119]  W. H. Gaskell.  ON THE ORIGIN OF THE CENTRAL NERVOUS SYSTEM OF VERTEBRATES , 1889 .

[120]  D. W. Scott,et al.  Multivariate Density Estimation, Theory, Practice and Visualization , 1992 .

[121]  Mandyam V. Srinivasan,et al.  Small brains, smart computations: Vision and navigation in honeybees, and applications to robotics , 2006 .

[122]  L. C. Katz,et al.  BDNF release from single cells elicits local dendritic growth in nearby neurons , 2002, Nature Neuroscience.

[123]  Daniel Johnston,et al.  Properties of single voltage‐dependent K+ channels in dendrites of CA1 pyramidal neurones of rat hippocampus , 2004, The Journal of physiology.

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

[125]  Wolf Singer,et al.  Time as coding space? , 1999, Current Opinion in Neurobiology.

[126]  W. Schultz.  Behavioral dopamine signals , 2007, Trends in Neurosciences.

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

[128]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[129]  Martin Egelhaaf,et al.  The neural computation of visual motion information. , 2006 .

[130]  John A. White,et al.  Roles of IA and morphology in action potential propagation in CA1 pyramidal cell dendrites , 2007, Journal of Computational Neuroscience.

[131]  Jeffrey L. Krichmar,et al.  Computer generation and quantitative morphometric analysis of virtual neurons , 2001, Anatomy and Embryology.

[132]  Wulfram Gerstner,et al.  SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .

[133]  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.

[134]  M. C. Jones,et al.  A Brief Survey of Bandwidth Selection for Density Estimation , 1996 .

[135]  Barbara Webb,et al.  New Ears for a Robot Cricket , 2005, ICANN.

[136]  J F Evers,et al.  Progress in functional neuroanatomy: precise automatic geometric reconstruction of neuronal morphology from confocal image stacks. , 2005, Journal of neurophysiology.

[137]  G A Ascoli,et al.  Progress and perspectives in computational neuroanatomy , 1999, The Anatomical record.

[138]  Erik De Schutter,et al.  Complex Parameter Landscape for a Complex Neuron Model , 2006, PLoS Comput. Biol..

[139]  H F Jelinek,et al.  Use of fractal theory in neuroscience: methods, advantages, and potential problems. , 2001, Methods.

[140]  G. Ascoli.  Mobilizing the base of neuroscience data: the case of neuronal morphologies , 2006, Nature Reviews Neuroscience.

[141]  Richard L Hyson,et al.  Intrinsic neuronal properties of the chick nucleus angularis. , 2002, Journal of neurophysiology.

[142]  Andreas Schierwagen,et al.  Morphological analysis and modeling of neuronal dendrites. , 2004, Mathematical biosciences.

[143]  William Bialek,et al.  Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution , 2007, BMC Neuroscience.

[144]  Ginette Horcholle-Bossavit,et al.  Neuronal morphology data bases: morphological noise and assesment of data quality , 2002, Network.

[145]  Radford M. Neal.  Pattern Recognition and Machine Learning , 2007, Technometrics.

[146]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[147]  Bartlett W. Mel,et al.  Information Processing in Dendritic Trees , 1994, Neural Computation.

[148]  Aristid Lindenmayer,et al.  Mathematical Models for Cellular Interactions in Development , 1968 .

[149]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[150]  Jaap van Pelt,et al.  A shape analysis framework for neuromorphometry , 2002, Network.

[151]  C. E. Carr,et al.  Are Neurons Adapted for Specific Computations? Examples from Temporal Coding in the Auditory System , 2005 .

[152]  Douglas B. Ehlenberger,et al.  Automated reconstruction of three-dimensional neuronal morphology from laser scanning microscopy images. , 2003, Methods.

[153]  W. Reichardt,et al.  Autocorrelation, a principle for the evaluation of sensory information by the central nervous system , 1961 .

[154]  D. Chklovskii,et al.  Wiring optimization can relate neuronal structure and function. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[155]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[156]  Harold Abelson,et al.  Turtle geometry : the computer as a medium for exploring mathematics , 1983 .

[157]  Alexander Borst,et al.  Models of motion detection , 2000, Nature Neuroscience.

[158]  Plasticity in the auditory system of crickets: phonotaxis with one ear and neuronal reorganization within the auditory pathway , 1987, Journal of Comparative Physiology A.

[159]  H. E. Stanley,et al.  Determination of fractal dimension of physiologically characterized neurons in two and three dimensions , 1995, Journal of Neuroscience Methods.

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

[161]  W Rall,et al.  Dendritic location of synapses and possible mechanisms for the monosynaptic EPSP in motoneurons. , 1967, Journal of neurophysiology.