Aeschlimann M. (2000). Biophysical models of axonal pathfinding PhD Thesis.
Ascoli GA, Krichmar JL. (2000). L-Neuron: a modeling tool for the efficient generation and parsimonious description of dendritic morphology. Neurocomputing. 32
Ascoli GA, Krichmar JL, Nasuto SJ, Senft SL. (2001). Generation, description and storage of dendritic morphology data. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 356 [PubMed]
Ascoli GA, Krichmar JL, Scorcioni R, Nasuto SJ, Senft SL. (2001). Computer generation and quantitative morphometric analysis of virtual neurons. Anatomy and embryology. 204 [PubMed]
Ascoli GA, Senft SL. (1999). Reconstruction of brain networks by algorithmic amplification of morphometry data Lecture Notes In Computer Science. 1606
Bamburg JR. (2003). Introduction to cytoskeletal dynamics and pathfinding of neuronal growth cones. The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society. 51 [PubMed]
Belmonte MK, Bourgeron T. (2006). Fragile X syndrome and autism at the intersection of genetic and neural networks. Nature neuroscience. 9 [PubMed]
Braitenberg V, Schuz A. (1998). Cortex Statistics and Geometry of Neuronal Connectivity 2nd ed.
Butz M, Lehmann K, Dammasch IE, Teuchert-Noodt G. (2006). A theoretical network model to analyse neurogenesis and synaptogenesis in the dentate gyrus. Neural networks : the official journal of the International Neural Network Society. 19 [PubMed]
Costa Lda F et al. (2002). A shape analysis framework for neuromorphometry. Network (Bristol, England). 13 [PubMed]
Dityatev AE et al. (1995). Comparison of the topology and growth rules of motoneuronal dendrites. The Journal of comparative neurology. 363 [PubMed]
Douglas RJ, Martin KA. (2004). Neuronal circuits of the neocortex. Annual review of neuroscience. 27 [PubMed]
Eberhard JP, Wanner A, Wittum G. (2006). NeuGen: a tool for the generation of realistic morphology of cortical neurons and neural networks in 3D Neurocomputing. 70
Fields RD, Itoh K. (1996). Neural cell adhesion molecules in activity-dependent development and synaptic plasticity. Trends in neurosciences. 19 [PubMed]
Gleeson P, Steuber V, Silver RA. (2007). neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron. 54 [PubMed]
Goldberg DJ, Burmeister DW. (1989). Looking into growth cones. Trends in neurosciences. 12 [PubMed]
Goodhill GJ. (1998). Mathematical guidance for axons. Trends in neurosciences. 21 [PubMed]
Gordon-Weeks PR. (2000). Neuronal growth cones.
Graham B, Van Pelt J, Uylings H. (2003). Formation of dendriticbranching patterns Modeling Neural Development (chapter 4).
Graham B, Van_ooyen A, Ramakers G. (2001). Competition for tubulin between growing neurites during development Neurocomputing. 38
Graham BP, van Ooyen A. (2004). Transport limited effects in a model of dendritic branching. Journal of theoretical biology. 230 [PubMed]
Hellwig B. (2000). A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex. Biological cybernetics. 82 [PubMed]
Hely TA, Graham B, Ooyen AV. (2001). A computational model of dendrite elongation and branching based on MAP2 phosphorylation. Journal of theoretical biology. 210 [PubMed]
Hentschel HG, van Ooyen A. (1999). Models of axon guidance and bundling during development. Proceedings. Biological sciences. 266 [PubMed]
Hillman DE. (1979). Neuronal shape parameters and substructures as a basis of neuronal form. The Neurosciences (4th Study Program).
Hillman DE. (1988). Parameters of dendritic shape and substructure Intrinsic and extrinsic determination? Intrinsic determinants of neuronal form and function..
Hines ML, Carnevale NT. (1997). The NEURON simulation environment. Neural computation. 9 [PubMed]
Isbister CM, O'Connor TP. (1999). Filopodial adhesion does not predict growth cone steering events in vivo. The Journal of neuroscience : the official journal of the Society for Neuroscience. 19 [PubMed]
Jan YN, Jan LY. (2003). The control of dendrite development. Neuron. 40 [PubMed]
Kiddie G, McLean D, Van Ooyen A, Graham B. (2005). Biologically plausible models of neurite outgrowth. Progress in brain research. 147 [PubMed]
Konur S, Ghosh A. (2005). Calcium signaling and the control of dendritic development. Neuron. 46 [PubMed]
Kowalski RJ, Williams RC. (1993). Microtubule-associated protein 2 alters the dynamic properties of microtubule assembly and disassembly. The Journal of biological chemistry. 268 [PubMed]
Lamoureux P, Buxbaum RE, Heidemann SR. (1998). Axonal outgrowth of cultured neurons is not limited by growth cone competition. Journal of cell science. 111 ( Pt 21) [PubMed]
Larkman AU. (1991). Dendritic morphology of pyramidal neurones of the visual cortex of the rat: I. Branching patterns. The Journal of comparative neurology. 306 [PubMed]
Larkman AU, Major G, Stratford KJ, Jack JJ. (1992). Dendritic morphology of pyramidal neurones of the visual cortex of the rat. IV: Electrical geometry. The Journal of comparative neurology. 323 [PubMed]
Le Bé JV, Silberberg G, Wang Y, Markram H. (2007). Morphological, electrophysiological, and synaptic properties of corticocallosal pyramidal cells in the neonatal rat neocortex. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]
Luczak A. (2006). Spatial embedding of neuronal trees modeled by diffusive growth. Journal of neuroscience methods. 157 [PubMed]
Maskery SM, Buettner HM, Shinbrot T. (2004). Growth cone pathfinding: a competition between deterministic and stochastic events. BMC neuroscience. 5 [PubMed]
Nowakowski RS, Hayes NL, Egger MD. (1992). Competitive interactions during dendritic growth: a simple stochastic growth algorithm. Brain research. 576 [PubMed]
Parnavelas JG, Van Pelt J, Uylings HB, Ruiz-Marcos A. (). Geometrical and topological characteristics in the dendritic development of cortical pyramidal and non-pyramidal neurons. The Self-Organizing Brain: From Growth Cones to Functional Networks (Progress in Brain Research). 102
Polinsky M, Balazovich K, Tosney KW. (2000). Identification of an invariant response: stable contact with schwann cells induces veil extension in sensory growth cones. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]
RALL W. (1959). Branching dendritic trees and motoneuron membrane resistivity. Experimental neurology. 1 [PubMed]
Ramakers GJ et al. (1998). Depolarization stimulates lamellipodia formation and axonal but not dendritic branching in cultured rat cerebral cortex neurons. Brain research. Developmental brain research. 108 [PubMed]
Scheff SW, Price DA, Schmitt FA, DeKosky ST, Mufson EJ. (2007). Synaptic alterations in CA1 in mild Alzheimer disease and mild cognitive impairment. Neurology. 68 [PubMed]
Schierwagen A, Grantyn R. (1986). Quantitative morphological analysis of deep superior colliculus neurons stained intracellularly with HRP in the cat. Journal fur Hirnforschung. 27 [PubMed]
Schierwagen A, Uylings HBM, Van_pelt J. (2001). Modeling dendritic morphological complexity of cat superior colliculus neurons Neurocomputing. 38
Schubert D, Kötter R, Luhmann HJ, Staiger JF. (2006). Morphology, electrophysiology and functional input connectivity of pyramidal neurons characterizes a genuine layer va in the primary somatosensory cortex. Cerebral cortex (New York, N.Y. : 1991). 16 [PubMed]
Segev R, Ben-Jacob E. (2000). Generic modeling of chemotactic based self-wiring of neural networks. Neural networks : the official journal of the International Neural Network Society. 13 [PubMed]
Shepherd GM, Svoboda K. (2005). Laminar and columnar organization of ascending excitatory projections to layer 2/3 pyramidal neurons in rat barrel cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]
Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. (2004). Organization, development and function of complex brain networks. Trends in cognitive sciences. 8 [PubMed]
Stepanyants A, Chklovskii DB. (2005). Neurogeometry and potential synaptic connectivity. Trends in neurosciences. 28 [PubMed]
Stepanyants A, Tamás G, Chklovskii DB. (2004). Class-specific features of neuronal wiring. Neuron. 43 [PubMed]
Sánchez C, Díaz-Nido J, Avila J. (2000). Phosphorylation of microtubule-associated protein 2 (MAP2) and its relevance for the regulation of the neuronal cytoskeleton function. Progress in neurobiology. 61 [PubMed]
Uylings HB, Smit GJ. (1975). Three-dimensional branching structure of pyramidal cell dendrites. Brain research. 87 [PubMed]
Uylings HB, van Pelt J. (2002). Measures for quantifying dendritic arborizations. Network (Bristol, England). 13 [PubMed]
Uylings HBM, Van_pelt J. (2007). Modeling Biology-Structures, Behaviors, Evolution, chapter Modeling Neuronal Growth and Shape.
Van Ooyen A, Van Pelt J, Corner MA. (1995). Implications of activity dependent neurite outgrowth for neuronal morphology and network development. Journal of theoretical biology. 172 [PubMed]
Van Pelt J, Uylings HB, Verwer RW, Pentney RJ, Woldenberg MJ. (1992). Tree asymmetry--a sensitive and practical measure for binary topological trees. Bulletin of mathematical biology. 54 [PubMed]
Van Pelt J, Van Ooyen A, Uylings HB. (2001). Modeling dendritic geometry and the development of nerve connections. Computational Neuroscience, Realistic Modeling for Experimentalists.
Wang Y, Gupta A, Toledo-Rodriguez M, Wu CZ, Markram H. (2002). Anatomical, physiological, molecular and circuit properties of nest basket cells in the developing somatosensory cortex. Cerebral cortex (New York, N.Y. : 1991). 12 [PubMed]
van Ooyen A, van Pelt J. (1994). Activity-dependent neurite outgrowth and neural network development. Progress in brain research. 102 [PubMed]
van Ooyen A, van Pelt J. (1996). Complex periodic behaviour in a neural network model with activity-dependent neurite outgrowth. Journal of theoretical biology. 179 [PubMed]
van Pelt J, Dityatev AE, Uylings HB. (1997). Natural variability in the number of dendritic segments: model-based inferences about branching during neurite outgrowth. The Journal of comparative neurology. 387 [PubMed]
van Pelt J, Uylings HB. (2002). Branching rates and growth functions in the outgrowth of dendritic branching patterns. Network (Bristol, England). 13 [PubMed]
van Pelt J, van Ooyen A, Uylings HB. (2001). The need for integrating neuronal morphology databases and computational environments in exploring neuronal structure and function. Anatomy and embryology. 204 [PubMed]
van Veen MP, van Pelt J. (1993). Terminal and intermediate segment lengths in neuronal trees with finite length. Bulletin of mathematical biology. 55 [PubMed]
Abdellah M et al. (2017). Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies. BMC bioinformatics. 18 [PubMed]
Bauer R, Clowry GJ, Kaiser M. (2021). Creative destruction: a basic computational model of cortical layer formation Cerebral cortex (New York, N.Y. : 1991). 31 [PubMed]
Hjorth JJ, van Pelt J, Mansvelder HD, van Ooyen A. (2014). Competitive dynamics during resource-driven neurite outgrowth. PloS one. 9 [PubMed]
Mäki-Marttunen T, Aćimović J, Ruohonen K, Linne ML. (2013). Structure-dynamics relationships in bursting neuronal networks revealed using a prediction framework. PloS one. 8 [PubMed]
Nanda S, Das R, Bhattacharjee S, Cox DN, Ascoli GA. (2018). Morphological determinants of dendritic arborization neurons in Drosophila larva. Brain structure & function. 223 [PubMed]
Parekh R, Ascoli GA. (2013). Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron. 77 [PubMed]
Reed JD, Blackwell KT. (2021). Prediction of Neural Diameter From Morphology to Enable Accurate Simulation. Frontiers in neuroinformatics. 15 [PubMed]
Schneider CJ, Cuntz H, Soltesz I. (2014). Linking macroscopic with microscopic neuroanatomy using synthetic neuronal populations. PLoS computational biology. 10 [PubMed]
Schwarzacher SW, Cuntz H, Jedlicka P, Beining M, Mongiat LA. (2017). T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells eLife.
Sterratt DC, Graham B, Gillies A, Willshaw D. (2011). Principles of Computational Modelling in Neuroscience, Cambridge University Press.
van Elburg RA. (2011). Stochastic Continuous Time Neurite Branching Models with Tree and Segment Dependent Rates Journal of theoretical biology. 276 [PubMed]
van Ooyen A et al. (2014). Independently outgrowing neurons and geometry-based synapse formation produce networks with realistic synaptic connectivity. PloS one. 9 [PubMed]