An inverse approach for elucidating dendritic function

Frontiers in Computational Neuroscience

Volumn 4, Issue , 2010, Pages

  Torben Nielsen, Benjamin ^a,b   Stiefel, Klaus M ^a  

^a OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY   (Japan)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

Dendrites; Dendritic morphology; Inverse approach; Neuronal computation; Structure function relationship

Indexed keywords

COMPUTATIONAL FUNCTIONS; DENDRITIC MORPHOLOGY; INVERSE APPROACH; OPTIMALITY; STRUCTURE-FUNCTION RELATIONSHIP; VISUAL SYSTEMS; WIDE-FIELD;

DENDRITES (METALLOGRAPHY); OPTIMIZATION;

NEURONS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; CELL STRUCTURE; DENDRITE; EVOLUTIONARY ALGORITHM; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE STIMULATION; PREDICTION; PROCESS OPTIMIZATION; SIGNAL PROCESSING; STRUCTURE ACTIVITY RELATION; VISUAL SYSTEM;

EID: 84867015528     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2010.00128     Document Type: Article

References (38)

1. Ascoli, G. A., Donohue, D. E., and Halavi, M. (2007). Neuromorpho.org: a central resource for neuronal morphologies. J. Neurosci. 27, 9247-9251.
2. Back, T. (1996). Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. New York, NY: Oxford University Press.
3. Borst, A., and Haag, J. (1996). The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties. J. Comput. Neurosci. 3, 313-336.
4. Burke, R. E., Marks, W. B., and Ulfhake, B. (1992). A parsimonious description of motoneuron dendritic morphology using computer simulation. J. Neurosci. 12, 2403-2416.
5. Carnevale, N., and Hines, M. (2006). The Neuron Book. Cambridge, UK: Cambridge University Press.
6. Cash, S., and Yuste, R. (1999). Linear summation of excitatory inputs by ca1 pyramidal neurons. Neuron 22, 383-394.
7. Chen, B. L., Hall, D. H., and Chklovskii, D. B. (2006). Wiring optimization can relate neuronal structure and function. Proc. Natl. Acad. Sci. U.S.A. 103, 4723-4728.
8. Contreras, D., Destexhe, A., and Steriade, M. (1997). Intracellular and computational characterization of the intracortical inhibitory control of synchronized thalamic inputs in vivo. J. Neurophysiol. 78, 335-350.
9. Cuntz, H., Borst, A., and Segev, I. (2007). Optimization principles of dendritic structure. Theor. Biol. Med. Model. 4, 21.
10. De Schutter, E., and Bower, J. M. (1994). Simulated responses of cerebellar Purkinje cells are independent of the dendritic location of granule cell synaptic inputs. Proc. Natl. Acad. Sci. U.S.A. 91, 4736-4740.
11. Egelhaaf, M. (2006). "The neural computation of visual motion information," in Invertebrate Vision, eds E. Warrant and D.-E. Nilsson (Cambridge, UK: Cambridge University Press), 399-461.
12. Franz, M. O., and Krapp, H. G. (2000). Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biol. Cybern. 83, 185-197.
13. Furtak, S. C., Moyer, J. R. Jr., and Brown, T. H. (2007). Morphology and ontogeny of rat perirhinal cortical neurons. J. Comp. Neurol. 505, 493-510.
14. Gulyás, A. I., Megìas, M., Emri, Z., and Freund, T. F. (1999). Total number and ratio of excitatory and inhibitory synapses converging onto single interneurons of different types in the ca1 area of the rat hippocampus. J. Neurosci. 19, 10082-10097.
15. Haag, J., Theunissen, F., and Borst, A. (1997). The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: II. Active membrane properties. J. Comput. Neurosci. 4, 349-369.
16. Haag, J., Vermeulen, A., and Borst, A. (1999). The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: III. Visual response properties. J. Comput. Neurosci. 7, 213-234.
17. Harris, K. D., Hirase, H., Leinekugel, X., Henze, D. A., and Buzsáki, G. (2001). Temporal interaction between single spikes and complex spike bursts in hippocampal pyramidal cells. Neuron 32, 141-149.
18. Hoffman, D. A., Magee, J. C., Colbert, C. M., and Johnston, D. (1997). K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons. Nature 387, 869.
19. Koch, C., and Segev, I. (2000). The role of single neurons in information processing. Nat. Neurosci. 3, 1171-1177.
20. Magee, J. C. (1999). Dendritic ih normalizes temporal summation in hippocampal CA1 neurons. Nat. Neurosci. 2, 508-514.
21. Mainen, Z. F., and Sejnowski, T. J. (1996). Influence of dendritic structure on firing pattern in model neocortical neurons. Nature 382, 363-366.
22. Markram, H., Helm, P. J., and Sakmann, B. (1995). Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons. J. Physiol. 485(Pt 1), 1-20.
23. Mayr, E. (2004). What Makes Biology Unique?: Considerations on the Autonomy of a Scientific Discipline. Cambridge: Cambridge University Press.
24. Michelsen, A., Popov, A. V., and Lewis, B. (1994). Physics of directional hearing in the cricket Gryllus bimaculatus. J. Comp. Physiol. A 175, 153-164.
25. Migliore, M., and Shepherd, G. M. (2002). Emerging rules for the distributions of active dendritic conductances. Nat. Rev. Neurosci. 3, 362-370.
26. Schiller, J., Major, G., Koester, H. J., and Schiller, Y. (2000). NMDA spikes in basal dendrites of cortical pyramidal neurons. Nature 404, 285-289.
27. Schwefel, H.-P. (1995). Evolution and Optimum Seeking. New York, NY: Wiley-Interscience.
28. Segev, I., and London, M. (2000). Untangling dendrites with quantitative models. Science 290, 744-749.
29. Soltesz, I. (2005). Diversity in the Neuronal Machine: Order and Variability in Interneuronal Microcircuits. New York, NY: Oxford University Press.
30. Stiefel, K. M., and Sejnowski, T. J. (2007). Mapping dendritic function onto neuronal morphology. J. Neurophysiol. 98, 513-526.
31. Strausfeld, N., Douglass, J., Cambell, H., and Higgins, C. (2006). "Parallel processing in the optic lobes of flies and the occurrence of motion computing circuits," in Invertebrate Vision, eds E. Warrant and D.-E. Nilsson (Cambridge, UK: Cambridge University Press), 349-398.
32. Stuart, G., Spruston, N., and Hausser, M. (2008). Dendrites, 2nd Edn. Oxford: Oxford University Press.
33. Thewissen, J. G. M., Cooper, L. N., George, J. C., and Najpal, S. (2009). From land to water: the origin of whales, dolphins, and porpoises. Evol. Educ. Outreach 2, 272-288.
34. Torben-Nielsen, B., and Stiefel, K. M. (2009). Systematic mapping between dendritic function and structure. Netw. Comput. Neural Syst. 20, 69-105.
35. Torben-Nielsen, B., and Stiefel, K. M. (2010). Wide-field motion integration in fly vs cells: insights from an inverse approach. PLoS Comput. Biol. (in press).
36. Torben-Nielsen, B., Vanderlooy, S., and Postma, E. O. (2008). Non-parametric algorithmic generation of neuron morphologies. Neuroinformatics 6, 257-277.
37. van Ooyen, A., Duijnhouwer, J., Remme, M. W. H., and van Pelt, J. (2002). The effect of dendritic topology on firing patterns in model neurons. Netw. Comput. Neural Syst. 13, 311-325.
38. Wang, Y., Gupta, A., Toledo-Rodriguez, M., Wu, C. Z., and Markram, H. (2002). Anatomical, physiological, molecular and circuit properties of nest basket cells in the developing somatosensory cortex. Cereb. Cortex 12, 395-410.