Biomedical Engineering Reference
In-Depth Information
[31] Pawitan, Y. (2001). In All Likelihood: Statistical Modelling and Inference
Using Likelihood. London: Oxford.
[32] Schroedinger, E. (1915). Zur Theorie der fall- und steigversuche an teilchen
mit Brownscher bewegung. Phys. Ze. , 16 , 289-295.
[33] Snyder, D., and Miller, M. (1991). Random Point Processes in Time and Space
(2nd ed.). New York: Springer-Verlag.
[34] Solo, V. and Kong, X. (1995). Adaptive Signal Processing Algorithms: Stabil-
ity and Performance. Upper Saddle River, NJ: Prentice-Hall.
[35] Tanner, M. A. (1996). Tools for Statistical Inference: Methods for the Explo-
ration of Posterior Distributions and Likelihood Functions. In Springer Series
in Statistics, New York: Springer-Verlag.
[36] Taylor, H. M., and Karlin, S. (1994). An Introduction to Stochastic Modeling
(rev. ed.) San Diego, CA: Academic Press.
[37] Tuckwell, H. C. (1988). Introduction to Theoretical Neurobiology: Nonlinear
and Stochastic Theories. New York; Cambridge.
[38] Wilson, M. A., and McNaughton, B. L., (1993). Dynamics of the hippocampal
ensemble code for space. Science , 261 , 1055-1058.
[39] Wood, E. R., Dudchenko, P. A., and Eichenbaum, H. (1999). The global record
of memory in hippocampal neuronal activity. Nature , 397 , 613- 616.
Search WWH ::




Custom Search