Systematic mapping between dendritic function and structure

References

• Agmon-Snir H, Carr CE, Rinzel J. The role of dendrites in auditory coincidence detection. Nature 1998; 393: 268–272
   PubMed Web of Science ®Google Scholar
• Ascoli GA, Krichmar JL, Scorcioni R, Nasuto SJ, Senft SL. Computer generation and quantitative morphometric analysis of virtual neurons. Anatomy and Embryology [Berlin] 2001; 204: 283–301
   PubMed Web of Science ®Google Scholar
• Black T. Evolutionary algortihms in theory and practice. Oxford University Press, Oxford 1996
   Google Scholar
• Boers E, Sprinkhuizen-Kuyper I. Combined biological metaphors. Advances in the evolutionary synthesis of intelligent agents, M Patel, V Honavar, K Balakrishnan. MIT Press, Cambridge 2001; 153–183
   Google Scholar
• Bullock TH, Horridge A. Structure and function in the nervous system of invertebrates. Freeman, San Francisco 1965
   Google Scholar
• Burke R, Marks W, Ulfhake B. A parsimonious description of motor neuron dendritic morphology using computer simulation. Journal of Neuroscience 1992; 12: 2403–2416
   PubMed Web of Science ®Google Scholar
• Carnevale N, Hines M. The neuron book. Cambridge University Press, Cambridge 2006
   Google Scholar
• Carr C, Iyer S, Soares D, Kalluri S, Simon J. Are neurons adapted for specific computations? Examples from temporal coding in the auditory system. In: 23 problems in systems neuroscience, T Sejnowski, L Van Hemmen. Oxford University Press, Oxford 2005; 245–265
   Google Scholar
• Chen BL, Hall DH, Chklovskii DB. Wiring optimization can relate neuronal structure and function. Proceedings of the National Academy of Sciences 2006; 103: 4723–4728
   PubMed Web of Science ®Google Scholar
• Cuntz H, Forstner F, Haag J, Borst A. The morphological identity of insect dendrites. PLoS Computational Biology 2008 Dec.; 4(12)e1000251
   PubMedGoogle Scholar
• Egelhaaf M, Borst A, Reichardt W. Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system. Journal of the Optical Society of America A 1989; 6: 1070–1087
   PubMedGoogle Scholar
• Furtak SC, Moyer JR, Brown TH. Morphology and ontogeny of rat perirhinal cortical neurons. Journal of Comparative Neurology 2007; 505: 493–510
   PubMed Web of Science ®Google Scholar
• Goldman MS, Golowasch J, Marder E, Abbott LF. Global structure, robustness, and modulation of neuronal models. Journal of Neuroscience 2001; 21: 5229–5238
   PubMed Web of Science ®Google Scholar
• Golowasch J, Goldman MS, Abbott LF, Marder E. Failure of averaging in the construction of a conductance-based neuron model. Journal of Neurophysiology 2002; 87: 1129–1131
   PubMed Web of Science ®Google Scholar
• Haag J, Denk W, Borst A. Fly motion vision is based on reichardt detectors regardless of the signal-to-noise ratio. Proceedings of the National Academy of Sciences of the USA 2004; 101: 16333–16338
   PubMed Web of Science ®Google Scholar
• Helton J, Johnson J, Sallaberry C, Storlie C. Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliability Engineering & System Safety 2004; 91: 1175–1209
   Web of Science ®Google Scholar
• Hille B. Ion channels of excitable membranesThird. Sinauer, Sunderland 2001
   Google Scholar
• Hoffman DA, Magee JC, Colbert CM, Johnston D. K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons. Nature 1997; 387: 869–875
   PubMed Web of Science ®Google Scholar
• Huguenard JR, Prince DA. Intrathalamic rhythmicity studied in vitro: Nominal T-current modulation causes robust antioscillatory effects. Journal of Neuroscience 1994; 14: 5485–5502
   PubMed Web of Science ®Google Scholar
• Johnston D, Amaral DG. The hippocampus. The synaptic organization of the brain, G Shepherd. Oxford University Press, Oxford 2004; 455–495
   Google Scholar
• Koza J. Genetic programming: On the programming of computers by means of natural selection. MIT Press, Cambridge 1992
   Google Scholar
• Magee J. Dendritic Ih normalizes temporal summation in hippocampal Ca1 neurons. Nature Neuroscience 1999; 2: 848
   PubMedGoogle Scholar
• Magee JC. Dendritic hyperpolarization-activated currents modify the integrative properties of hippocampal Ca1 pyramidal neurons. Journal of Neuroscience 1998; 18: 7613–7624
   PubMed Web of Science ®Google Scholar
• Markram H, Toledo-Rodriguez M, Wang Y, Gupta A, Silberberg G, Wu C. Interneurons of the neocortical inhibitory system. Nature Review Neuroscience 2004; 5: 793–807
   PubMed Web of Science ®Google Scholar
• McCormick DA. Cholinergic and noradrenergic modulation of thalamocortical processing. Trends in Neurosciences 1989; 12: 215–221
   PubMed Web of Science ®Google Scholar
• Migliore M, Cook EP, Jaffe DB, Turner DA, Johnston D. Computer simulations of morphologically reconstructed CA3 hippocampal neurons. Journal of Neurophysiology 1995; 73: 1157–1168
   PubMed Web of Science ®Google Scholar
• Migliore M, Shepherd GM. Emerging rules for the distributions of active dendritic conductances. Nature Review Neurosciences 2002; 3: 362–370
   PubMed Web of Science ®Google Scholar
• Mitchell M. An introduction to genetic algorithms. MIT Press, Cambridge 2001
   Google Scholar
• Nevian T, Larkum ME, Polsky A, Schiller J. Properties of basal dendrites of layer 5 pyramidal neurons: A direct patch-clamp recording study. Nature Neuroscience 2007; 10: 206–214
   PubMed Web of Science ®Google Scholar
• Niewenhuys R, Ten Donkelar H, Nicholson C. The central nervous system of vertebrates. Springer, Berlin 1998
   Google Scholar
• Rall W. Theoretical significance of dendritic trees for neuronal input-output relations, Neural Theory and Modeling. Proceedings of the 1962 Ojai Symposium. 1964, F Reiss. Stanford University Press, 73–97
   Google Scholar
• Rall W. The theoretical foundation of dendritic function (selected papers of Wilfrid Rall with commentaries). MIT Press, Cambridge 1995
   Google Scholar
• Ramakers GMJ, Storm JF. A postsynaptic transient K+ current modulated by arachidonic acid regulates synaptic integration and threshold for LTP induction in hippocampal pyramidal cells. Proceedings of the National Academy of Sciences of the USA 2002; 99: 10144–10149
   PubMed Web of Science ®Google Scholar
• Schiller J, Schiller Y, Stuart G, Sakmann B. Calcium action potentials restricted to distal apical dendrites of rat neocortical pyramidal neurons. Journal of Physiology 1997; 505(Part 3)605–616
   PubMed Web of Science ®Google Scholar
• Seamans JK, Yang CR. The principal features and mechanisms of dopamine modulation in the prefrontal cortex. Progress in Neurobiology 2004; 74: 1–58
   PubMed Web of Science ®Google Scholar
• Shah MM, Mistry M, Marsh SJ, Brown DA, Delmas P. Molecular correlates of the m-current in cultured rat hippocampal neurons. Journal of Physiology 2002; 544: 29–37
   PubMed Web of Science ®Google Scholar
• Shepherd G. The synaptic organization of the brain. Oxford University Press, Oxford 1998
   Google Scholar
• Singer W. Time as coding space?. Current Opinion in Neurobiology 1999; 9: 189–194
   PubMed Web of Science ®Google Scholar
• Somogyi P, Tamás G, Lujan R, Buhl EH. Salient features of synaptic organisation in the cerebral cortex. Brain Research Reviews 1998; 26: 113–135
   PubMed Web of Science ®Google Scholar
• Stiefel KM, Sejnowski TJ. Mapping function onto neuronal morphology. Journal of Neurophysiology 2007; 98: 513–526
   PubMed Web of Science ®Google Scholar
• Stuart G, Spruston N. Determinants of voltage attenuation in neocortical pyramidal neuron dendrites. Journal of Neuroscience 1998; 18: 3501–3510
   PubMed Web of Science ®Google Scholar
• Torben-Nielsen B (September, 2007) Evolving virtual neuronal morphologies: A Case study in genetic L-systems programming. Proceedings of the 9th European Conference in Artificial Life (ECAL2007) Lisbon, Portugal, 2007
   Google Scholar
• Traub RD, Llinás R. Hippocampal pyramidal cells: Significance of dendritic ionic conductances for neuronal function and epileptogenesis. Journal of Neurophysiology 1979; 42: 476–496
   PubMed Web of Science ®Google Scholar
• Tucker T, Fettiplace R. Confocal imaging of calcium microdomains and calcium extrusion in turtle hair cells. Neuron 1995; 15: 1323–1335
   PubMed Web of Science ®Google Scholar
• VanRullen R, Guyonneau R, Thorpe SJ. Spike times make sense. Trends in. Neurosciences 2005; 28: 1–4
   Web of Science ®Google Scholar
• Van Horck FPG, Weinl C, Holt CE. Retinal axon guidance: Novel mechanisms for steering. Current Opinion in Neurobiology 2004; 14: 61–66
   PubMed Web of Science ®Google Scholar
• Aldous D, Vazirani U. Go with the winners algorithms. Proceedings of the 35th annual symposium on foundations of computer science. 1994, 492–501
   Google Scholar
• Coello CA, van Veldhuizen DA, Lamont GB. Evolutionary algorithms for solving multi-objective problems. Kluwer, New York 2002
   Google Scholar
• Fogel DB. Asymptotic convergence properties of genetic algorithms and evolutionary programming: Analysis and experiments. Cybernetics and Systems 1994; 25: 289–407
   Google Scholar
• Kolda TG, Lewis RM, Torczon V. Optimization by direct search: new perspectives on some classical and modern methods. Society for Industrial and Applied Mathematics Review 2003; 45: 385–482
   Web of Science ®Google Scholar
• Tuckwell H. Introduction to theoretical neurobiology. Cambridge University Press, Cambridge 2005a
   Google Scholar