146
A. Destexhe, Z. F. Mainen, and T. J. Sejnowski. An efficient method for comput-
ing synaptic conductances based on a kinetic model of receptor binding. Neural
Computation, 6:14-18, 1994.
A. Destexhe, Z. F. Mainen, and T. J. Sejnowski. Kinetic models of synaptic trans-
mission. In C. Koch and I. Segev, editors, Methods in Neuronal Modeling: From
Ions to Networks, pages 1-26. The MIT Press, 2nd edition, 1998.
B. Ermentrout. Reduction of conductance-based models with slow synapses to neural
nets. Neural Computation, 6:679-695, 1994.
N. Fourcaud-Trocmé, D. Hansel, C. van Vreeswijk, and N. Brunel. How spike gener-
ation mechanisms determine the neuronal response to fluctuating inputs. J. Neu-
rosci., 23:11628-11640, 2003.
R. W. Freund. Structure-preserving model order reduction of rcl circuit equations.
In W. H. A. Schilders, H. A. van der Vorst, and J. Rommes, editors, Model Order
Reduction: Theory, Research Aspects and Applications, volume 13, pages 49-73.
Springer Berlin Heidelberg, 2008.
S. C. Furtak, J. R. M. Jr., and T. H. Brown. Morphology and ontogeny of rat
perirhinal cortical neurons. J. Comp. Neurol., 505(5):493-510, December 2007.
K. Glover. All optimal hankel-norm approximations of linear multivariable systems
and their Zoo-error bounds. Int. J. Contr., 39:1115-1193, 1984.
N. L. Golding, W. L. Kath, and N. Spruston. Dichotomy of action-potential back-
propagation in CAl pyramidal neuron dendrites. J. Neurophysiol., 86:2998-3010,
2001.
N. L. Golding, T. J. Mickus, Y. Katz, W. L. Kath, and N. Spruston. Factors mediating
powerful voltage attentuation along CAl pyramidal neuron dendrites. J. Physiol.,
568:69-82, 2005.
S. Gugercin, A. Antoulas, and C. Beattie. TZ2 model reduction for large-scale linear
dynamical systems. SIAM J. on Matrix Analysis and Applications, 30:609-638,
2008.
M. E. Hasselmo, L. M. Giocomo, and E. A. Zilli. Grid cell firing may arise from
interference of theta frequency membrane potential oscillations in single neurons.
Hippocampus, 17:1252-1271, 2007.
M. Hausser. Synaptic function: Dendritic democracy. Current Biology, ll.∙R10-R12,
2001.
M. Hines. Efficient computation of branched nerve equations. International J. of
Bw-Medical Computing, 15:69-76, 1984.
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