The effect of NMDA receptors on gain modulation

Neural Computation

Volumn 17, Issue 12, 2005, Pages 2531-2547

  Berends, Michiel ^a   Maex, Reinoud ^a   De Schutter, Erik ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

N METHYL DEXTRO ASPARTIC ACID RECEPTOR;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; CEREBELLUM; EXCITATORY POSTSYNAPTIC POTENTIAL; NERVE CELL; PHYSIOLOGY; RAT; SYNAPSE; SYNAPTIC TRANSMISSION;

ANIMALS; CEREBELLUM; EXCITATORY POSTSYNAPTIC POTENTIALS; MODELS, NEUROLOGICAL; NEURONS; RATS; RECEPTORS, N-METHYL-D-ASPARTATE; SYNAPSES; SYNAPTIC TRANSMISSION;

BANDWIDTH; DETERIORATION; GRANULATION; MODULATION;

'CURRENT; AMPA-RECEPTOR; CEREBELLAR GRANULE CELLS; FIRING RATES; GAIN MODULATION; GRANULE CELLS; INPUT CURRENT; INPUT/OUTPUT FUNCTION; MOSSY FIBERS; NMDA RECEPTOR;

CHARGE TRANSFER;

EID: 27144496668     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/089976605774320520     Document Type: Article

References (52)

1. Brizzi, L., Meunier, C., Zytnicki, D., Donnet, M., Hansel, D., D'Incamps, B. L., & Van Vreeswijk, C. (2004). How shunting inhibition affects the discharge of lumbar motoneurones: A dynamic clamp study in anaesthetized cats. J. Physiol., 558(Pt. 2), 671-683.
2. Bugmann, G. (1991). Summation and multiplication: Two distinct operation domains of leaky integrate-and-fire neurons. Network, 2, 489-509.
3. Burkitt, A. N., Meffin, H., & Grayden, D. B. (2003). Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol. Cybern., 89(2), 119-125.
4. Cathala, L., Brickley, S., Cull-Candy, S., & Farrant, M. (2003). Maturation of EPSCs and intrinsic membrane properties enhances precision at a cerebellar synapse. J. Neurosci., 23(14), 6074-6085.
5. Chadderton, P., Margrie, T. W., & Hausser, M. (2004). Integration of quanta in cerebellar granule cells during sensory processing. Nature, 425(6985), 856-860.
6. Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002). Gain modulation from background synaptic input. Neuron, 35(4), 773-782.
7. D'Angelo, E., De Filippi, G., Rossi, P., & Taglietti, V. (1995). Synaptic excitation of individual rat cerebellar granule cells in situ: Evidence for the role of NMDA receptors. J. Physiol., 484 ( Pt. 2), 397-413.
8. +-dependent mechanism. J. Neurosci., 21(3), 759-770.
9. D'Angelo, E., Rossi, P., Armano, S., & Taglietti, V. (1999). Evidence for NMDA and mGlu receptor-dependent long-term potentiation of mossy fiber-granule cell transmission in rat cerebellum. J. Neurophysiol., 81(1), 277-287.
10. D'Angelo, E., Rossi, P., & Taglietti, V. (1993). Different proportions of N-methyl-D-aspartate and non-N-methyl-D-aspartate receptor currents at the mossy fibre-granule cell synapse of developing rat cerebellum. Neuroscience, 53(1), 121-130.
11. D'Angelo, E., Rossi, P., & Taglietti, V. (1994). Voltage-dependent kinetics of N-methyl-D-aspartate synaptic currents in rat cerebellar granule cells. Eur. J. Neurosci., 6(4), 640-645.
12. De Schutter, E. (2002). Cerebellar cortex: Computation by extrasynaptic inhibition. Current Biology, 12, R363-R365.
13. DiGregorio, D. A., Nusser, Z., & Silver, R. A. (2002). Spillover of glutamate onto synaptic AMPA receptors enhances fast transmission at a cerebellar synapse. Neuron, 35(3), 521-533.
14. Doiron, B., Longtin, A., Berman, N., & Maler, L. (2000). Subtractive and divisive inhibition: Effect of voltage-dependent inhibitory conductances and noise. Neural Comput., 13, 227-248.
15. Drew, P. J., & Abbott, L. F. (2003). Model of song selectivity and sequence generation in area HVc of the songbird. J. Neurophysiol., 89(5), 2697-2706.
16. Eccles, J. C., Faber, D. S., Murphy, J. T., Sabah, N. H., & Taborikova, H. (1971). Afferent volleys in limb nerves influencing impulse discharges in cerebellar cortex. I. In mossy fibers and granule cells. Exp. Brain Res., 13(1), 15-35.
17. Fellous, J. M., Rudolph, M., Destexhe, A., & Sejnowski, T. J. (2003). Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity. Neuroscience, 122(3), 811-829.
18. Gabbiani, F., Midtgaard, J., & Knopfel, T. (1994). Synaptic integration in a model of cerebellar granule cells. J. Neurophysiol., 72(2), 999-1009.
19. Garwicz, M., Jorntell, H., & Ekerot, C. F. (1998). Cutaneous receptive fields and topography of mossy fibres and climbing fibres projecting to cat cerebellar C3 zone. J. Physiol., 512 (Pt. 1), 277-293.
20. Goldberg, J. M., & Fernandez, C. (1971). Physiology of peripheral neurons innervating semicircular canals of the squirrel monkey. I. Resting discharge and response to constant angular accelerations. J. Neurophysiol., 34(4), 635-660.
21. Hamann, M., Rossi, D. J., & Attwell, D. (2002). Tonic and spillover inhibition of granule cells control information flow through cerebellar cortex. Neuron, 33(4), 625-633.
22. Hines, M. L., & Carnevale, N. T. (1997). The NEURON simulation environment. Neural Comput., 9(6), 1179-1209.
23. Holt, G. R., & Koch, C. (1997). Shunting inhibition does not have a divisive effect on firing rates. Neural Comput., 9(5), 1001-1013.
24. Ito, M. (1984). The cerebellum and neural control New York: Raven Press.
25. Jahr, C. E., & Stevens, C. F. (1990). Voltage dependence of NMDA-activated macroscopic conductances predicted by single-channel kinetics. J. Neurosci., 10(9), 3178-3182.
26. Jakab, R. L., & Hamori, J. (1988). Quantitative morphology and synaptology of cerebellar glomeruli in the rat. Anat. Embryol (Berl.), 179(1), 81-88.
27. 2+ unblock of NMDA receptors: Implications for spike-timing dependent synaptic plasticity. J. Physiol., 556(Pt. 2), 337-345.
28. Kase, M., Miller, D. C., & Noda, H. (1980). Discharges of Purkinje cells and mossy fibres in the cerebellar vermis of the monkey during saccadic eye movements and fixation. J. Physiol., 300, 539-555.
29. Koch, C. (1999). Biophysics of computation. New York: Oxford University Press.
30. Kuhn, A., Aertsen, A., & Rotter, S. (2004). Neuronal integration of synaptic input in the fluctuation-driven regime. J. Neurosci., 24(10), 2345-2356.
31. Maex, R., & De Schutter, E. (1998). Synchronization of golgi and granule cell firing in a detailed network model of the cerebellar granule cell layer. J. Neurophysiol., 80(5), 2521-2537.
32. Maex, R., Vos, B. P., & De Schutter, E. (2000). Weak common parallel fibre synapses explain the loose synchrony observed between rat cerebellar Golgi cells. J. Physiol., 523(Pt. 1), 175-192.
33. Marr, D. (1969). A theory of cerebellar cortex. J. Physiol., 202(2), 437-470.
34. Mitchell, S. J., & Silver, R. A. (2003). Shunting inhibition modulates neuronal gain during synaptic excitation. Neuron, 38(3), 433-445.
35. Murphy, B. K., & Miller, K. D. (2003). Multiplicative gain changes are induced by excitation or inhibition alone. J. Neurosci., 23(31), 10040-10051.
36. Prescott, S. A., & De Koninck, Y. (2003). Gain control of firing rate by shunting inhibition: Roles of synaptic noise and dendritic saturation. Proc. Natl. Acad. Sci. USA, 100(4), 2076-2081.
37. Ricciardi, L. M. (1977). Diffusion processes and related topics in biology. Berlin: Springer-Verlag.
38. Rice, S. O. (1954). Mathematical analysis of random noise. In N. Wax (Ed.), Selected papers on noise and stochastic processes (pp. 133-161). New York: Dover.
39. Rossi, D. J., Hamann, M., & Attwell, D. (2003). Multiple modes of GABAergic inhibition of rat cerebellar granule cells. J. Physiol., 548(Pt. 1), 97-110.
40. Rossi, P., De Filippi, G., Armano, S., Taglietti, V., & D'Angelo, E. (1998). The weaver mutation causes a loss of inward rectifier current regulation in premigratory granule cells of the mouse cerebellum. J. Neurosci., 18(10), 3537-3547.
41. Rossi, P., Sola, E., Taglietti, V., Borchardt, T., Steigerwald, F., Utvik, J. K., Ottersen, O. P., Kohr, G., & D'Angelo, E. (2002). NMDA receptor 2 (NR2) C-terminal control of NR open probability regulates synaptic transmission and plasticity at a cerebellar synapse. J. Neurosci., 22(22), 9687-9697.
42. Salinas, E., & Sejnowski, T. J. (2002). Integrate-and-fire neurons driven by correlated stochastic input. Neural Comput., 14(9), 2111-2155.
43. Salinas, E., & Thier, P. (2000). Gain modulation: A major computational principle of the central nervous system. Neuron, 27(1), 15-21.
44. Silver, R. A., Traynelis, S. F., & Cull-Candy, S. G. (1992). Rapid-time-course miniature and evoked excitatory currents at cerebellar synapses in situ. Nature, 355(6356), 163-166.
45. Soja, P. J., Fragoso, M. C., Cairns, B. E., & Jia, W. G. (1996). Dorsal spinocerebellar tract neurons in the chronic intact cat during wakefulness and sleep: Analysis of spontaneous spike activity. J. Neurosci., 16(3), 1260-1272.
46. Stein, R. B. (1965). A theoretical analysis of neuronal variability. Biophys. J., 91, 173-194.
47. Tiesinga, P. H., Jose, J. V., & Sejnowski, T. J. (2000). Comparison of current-driven and conductance-driven neocortical model neurons with Hodgkin-Huxley voltage-gated channels. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics, 62(6 Pt. B), 8413-8419.
48. Troyer, T. W., & Miller, K. D. (1997). Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Comput., 9(5), 971-983.
49. Tuckwell, H. C. (1988). Introduction to theoretical neurobiology. Cambridge: Cambridge University Press.
50. van Kampen, N. G. (1981). Stochastic processes in physics and chemistry. Amsterdam: North-Holland.
51. van Kan, P. L., Gibson, A. R., & Houk, J. C. (1993). Movement-related inputs to intermediate cerebellum of the monkey. J. Neurophysiol., 69(1), 74-94.
52. Wang, L. Y. (2000). The dynamic range for gain control of NMDA receptor-mediated synaptic transmission at a single synapse. J. Neurosci., 20(24), RC115.