A Theoretical Overview - Computational Neuroscience: A Comprehensive Approach - page 29

[74] Tuckwell, H.C. (1981). Poisson processes in biology. Stochastic Nonlinear
Systems , Springer, Berlin, pp 162-171.
[75] Tuckwell, H.C. (1987a). Diffusion approximations to channel noise. J. Theor.
Biol. 127 : 427-438.
[76] Tuckwell, H.C. (1987b). Statistical properties of perturbative nonlinear ran-
dom diffusion from stochastic integral representations.

Phys. Lett. A 122 :

117-120.
[77] Tuckwell, H.C. (1988a). Introduction to Theoretical Neurobiology, Vol 2:
Stochastic and Nonlinear Theories . Cambridge University Press, New York.
[78] Tuckwell, H.C. (1988b). Perturbative analysis of random nonlinear reaction-
diffusion systems. Physica Scripta 37 : 321-322.
[79] Tuckwell, H.C. (1989). Stochastic Processes in the Neurosciences .SIAM,

Philadelphia.
[80] Tuckwell, H.C. (1992), Random fluctuations at an equilibrium of a nonlinear
reaction-diffusion equation. Applied Math. Letters 6 : 79-81.
[81] Tuckwell, H.C., and Cope, D.K. (1980), The accuracy of neuronal interspike
times calculated from a diffusion approximation. J. Theor. Biol. 83 : 377-387.
[82] Tuckwell, H.C., and Rodriguez, R. (1998). Analytical and simulation results
for stochastic Fitzhugh-Nagumo neurons and neural networks. J. Computa-

tional Neuroscience 5: 91-113.
[83] Tuckwell, H.C., Wan, F.Y.M., and Rospars, J-P. (2002). A spatial stochastic
neuronal model with Ornstein-Uhlenbeck input current. Biol. Cybernetics 86 :
137-145.
[84] Tuckwell, H.C., Wan, F.Y.M., and Wong, Y.S. (1984). The interspike interval
of a cable model neuron with white noise input. Biol. Cybern. 155 : 155-167.
[85] Verhulst, F. (1990) Nonlinear Differential Equations and Dynamical Systems ,
Springer-Verlag: Berlin, Heidelberg et al.
[86] van Vreeswijk, C., Abbott, L.F., and Ermentrout, G.B. (1994). When inhibition
not excitation synchronizes neural firing. J. Comp. Neurosci. 4 : 313-321.
[87] Wan, F.Y.M, and Tuckwell, H.C. (1982). Neuronal firing and input variability.
J. Theoret. Neurobiol. 1 : 197-218.
[88] Williams, S.R., Toth, T.I., Turner, J.P., Hughes, S.W., and Crunelli, V. (1997).
The 'window' component of the low threshold Ca2+ current produces input
signal amplification and bistability in cat and rat thalamocortical neurones. J.
Physio.-London 505 : 689-705.
[89] Wolpert, D.M., and Ghahramani, Z. (2000). Computational principles of move-
ment neuroscience. Nat. Neuroscience 3 :1212-1217
[90] Zohary, E., Shadlen, M.N., and Newsome, W.T. (1994). Correlated neuronal