Complex Neuro-Cognitive Systems - Foundations on Natural and Artificial Computation - page 9

References
1. Schierwagen, A.: Brain complexity: analysis, models and limits of understanding.
In: Mira, J., Ferrandez, J.M., ´ Alvarez,J.R.,delaPaz,F.,Toledo,F.J.(eds.)
IWINAC 2009. LNCS, vol. 5601, pp. 195-204. Springer, Heidelberg (2009)
2. Schierwagen, A.: On reverse engineering in the cognitive and brain sciences. Natural
Comput (2011) (in press)
3. Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE).
DARPA / IBM (2008)
4. Markram, H.: The Blue Brain Project. Nature Rev. Neurosci. 7, 153-160 (2006)
5. de Garis, H., et al.: The China-Brain Project: Building China's Artificial Brain Us-
ing an Evolved Neural Net Module Approach. In: Wang, P., Goertzel, B., Franklin,
S. (eds.) Proceedings First AGI Conference, pp. 107-121. IOS Press, Amsterdam
(2008)
6. de Garis, H., Shuoa, C., Goertzel, B., Ruiting, L.: A world survey of artificial brain
projects, Part I: Large-scale brain simulations. Neurocomput. 74, 3-29 (2010)
7. Goertzel, B., Ruiting, L., Arel, I., de Garis, H., Chen, S.: World survey of artifi-
cial brains, Part II: Biologically inspired cognitive architectures. Neurocomput. 74,
30-49 (2010)
8. Edmonds, B.: Syntactic Measures of Complexity. PhD thesis, University of Manch-
ester (1999)
9. Chu, D., Strand, R., Fjelland, R.: Theories of complexity. Complexity 8, 19-30
(2003)
10. Gershenson, C.: Complexity. arXiv:1003.5947v1
11. Editorial. Complicated is not complex. Nature Biotechnology 17, 511 (1999)
12. Rosen, R.: Life Itself: A Comprehensive Inquiry into the Nature, Origin, and Fab-
rication of Life. Columbia University Press, New York (1991)
13. Rosen, R.: Essays on Life Itself. Columbia University Press, New York (2000)
14. Kitto, K.: High End Complexity. Intern. J. Gen. Syst. 37, 689-714 (2008)
15. Babloyantz, A., Destexhe, A.: Low-dimensional chaos in an instance of epilepsy.
Proc. Natl. Acad. Sci. USA 83, 3513-3517 (1986)
16. Jaeger, H.: Dynamische Systeme in der Kognitionswissenschaft. Kognitionswis-
senschaft 5, 151-174 (1996)
17. Stam, C.J.: Nonlinear dynamical analysis of EEG and MEG: Review of an emerging
field. Clin. Neurophysiol. 116, 2266-2301 (2005)
18. Takens, F.: Detecting strange attractors in turbulence. Lecture Notes Math. 898,
366-381 (1981)
19. Kantz, H., Schreiber, T.: Nonlinear Time Series Analysis. Cambridge University
Press, Cambridge (1997)