Some implications of the short-term synaptic plasticity for neuronal computation: A model study

Biologia

Volumn 62, Issue 4, 2007, Pages 498-506

  Jenča, Ján ^a   Pavlásek, Juraj ^a  

^a INSTITUTE OF CHEMISTRY   (Slovakia)

Author keywords

Activity routing; Frequency tuned synapses; Paired pulse facilitation; Pattern recognition

Indexed keywords

EID: 50849127854     PISSN: 00063088     EISSN: 13369563     Source Type: Journal    
DOI: 10.2478/s11756-007-0099-z     Document Type: Article

References (32)

1. Baxter D.A. & Byrne J.H. 1993. Learning rules from neurobiology, pp. 71-105. In: Gardner D. (ed.), The Neurobiology of Neural Networks, The MIT Press, Cambridge, MA.
2. Castro-Almancos M.A. & Connors B.W. 1996. Spatiotemporal properties of short-term plasticity in sensorimotor thalamocortical pathways of the rat. J. Neurosci. 16: 2767-2779.
3. Connors B.W., Gil Z., Landisman C.E., Gibson J.R. & Amitai Y. 2000. Pathway-specific regulation of synapses in the thalamocortical system, pp. 197-219. In: Baudry M., Davis J.L. & Thompson R.F. (eds), Advances in Synaptic Plasticity, A Bradford Book, The MIT Press, Cambridge, MA.
4. Debanne D., Guerineau N.C., Gahwiller B.H. & Thompson S.M. 1996. Paired-pulse facilitation and depression at unitary synapses in rat hippocampus: Quantal fluctuation affects subsequent release. J. Physiol. 491: 163-176.
5. Dobrunz L.E., Huang E.P. & Stevens C.F. 1997. Very short-term plasticity in hippocampal synapses. Proc. Natl. Acad. Sci. USA 94: 14843-14847.
6. Eccles J.C. 1953. The Neurophysiological Basis of Mind: The Principles of Neurophysiology. Clarendon Press, Oxford, UK, 314 pp.
7. Fernández-Chacón R., Königstorfer A., Gerber S.H., García J., Matos M.F., Stevens C.F., Brose N., Rizo J., Rosenmund C. & Südhof T.C. 2001. Synaptotagmin I functions as a calcium regulator of release probability. Nature 410: 41-49.
8. Fuhrmann G., Segev I., Markram I. & Tsodyks M. 2002. Coding of temporal information by activity-dependent synapses. J. Neurophysiol. 87: 140-148.
9. Herz A.V.M., Gollish T., Machens C.K. & Jaeger D. 2006. Modeling single-neuron dynamics and computations: a balance of detail and abstraction. Science 314: 80-85.
10. Holmes W.R. & Rall W. 1998. Dendritic spines, pp. 289-292. In: Arbib, M. A. (ed.), The Handbook of Brain Theory and Neural Networks, A Bradford Book, The MIT Press, Cambridge, MA.
11. Izhikevich E.M. 2001. Resonate-and-fire neurons. Neural Networks 14: 883-884.
12. Izhikevich E.M., Desai N.S., Walcott E.C. & Hoppensteadt F.C. 2003. Bursts as a unit of neural information: selective communication via resonance. Trends Neurosci. 26: 161-167.
13. Jančo J., Stavrovský I. & Pavlásek J. 1994. Modeling of neuronal functions: a neuronlike element with the graded response. Comput. Artif. Intellig. 13: 603-620.
14. Koch C. 1999. Biophysics of Computation. Information Processing in Single Neurons. Oxford University Press, Oxford, 562 pp.
15. Liaw J.S., Xie X., Ghaffari T., Baudry M., Chauvet G.A. & Berger T.W. 2000. Role of synaptic geometry in the dynamics and efficacy of synaptic transmission, pp. 103-142. In: Baudry M., Davis J.L. & Thompson R.F. (eds), Advances in Synaptic Plasticity, A Bradford Book, The MIT Press, Cambridge, MA.
16. Lisman J. 1997. Burst as a unit of neural information: making unreliable synapses reliable. Trends Neurosci. 20: 38-43.
17. Markram H. & Tsodyks M. 1996. Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature 382: 807-810.
18. Markram H., Tsodyks M., Wang Y. & Uziel A. 2000. Frequency-dependent synaptic transmission in the neocortex, pp. 239-263. In: Baudry M., Davis J.L. & Thompson R.F. (eds), Advances in Synaptic Plasticity, A Bradford Book, The MIT Press, Cambridge, MA.
19. Perkel D.H. & Bullock T.H. 1968. Neural coding. Neurosci. Res. Prog. Bull. 6: 221-348.
20. Redman S. & Walmsley B. 1983. The time course of synaptic potentials evoked in cat spinal motoneurones at identified groups Ia synapses. J. Physiol. 343: 117-133.
21. ++-triggered exocytosis. Science 298: 781-785.
22. Rieke F., Warland D., DeRuyter van Steveninck R. & Bialek W. 1999. Spikes. Exploring the Neuronal Code. A Bradford Book, The MIT Press, Cambridge, MA, 395 pp.
23. Segev I. 1998. Dendritic processing, pp. 282-289. In: Arbib, M. A. (ed.), The Handbook of Brain Theory and Neural Networks, A Bradford Book, The MIT Press, Cambridge, MA.
24. Segundo J.P., Stiber M. & Vibert J.F. 1998. Synaptic coding of spike trains, pp. 953-956. In: Arbib M. A. (ed.), The Handbook of Brain Theory and Neural Networks, A Bradford Book, The MIT Press, Cambridge, MA.
25. Sheng M. & Kim M.J. 2002. Postsynaptic signaling and plasticity mechanisms. Science 298: 776-780.
26. Shepherd G.M. 1996. The dendritic spine: a multifunctional integrative unit. J. Neurophysiol. 75: 2197-2210.
27. Singer W. 1999. Time as coding space? Curr. Opin. Neurobiol. 9: 189-194.
28. Thomson A. M. 1997. Activity-dependent properties of synaptic transmission at two classes of connections made by rat neocortical pyramidal axons in vitro. J. Physiol. 502.1: 131-147.
29. Thomson A. M. 2000. Molecular frequency filters at central synapses. Prog. Neurobiol. 62: 159-196.
30. Thomson A.M., Deuchars J. & West W.C. 1993. Large, deep layer pyramid-pyramid single axon epsps in slices of rat motor cortex display paired pulse and frequency-dependent depression, mediated-presynaptically and self-facilitation, mediated post-synaptically. J. Nerophysiol. 70: 2197-2204.
31. Zucker R.S. 1989. Short term synaptic plasticity. Annu. Rev. Neurosci. 12: 13-31.
32. Zucker R.S. & Regehr, W.G. 2002. Short-term synaptic plasticity. Annu. Rev. Physiol. 64: 355-405.