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Springer Berlin Heidelberg
Reference42 articles.
1. E. Capecci, Z. Doborjeh, N. Mammone, F. La Foresta, F.C. Morabito, N. Kasabov, Longitudinal Study of Alzheimer’s Disease Degeneration through EEG Data Analysis with a NeuCube Spiking Neural Network Model, in Proceedings WCCI—IJCNN, Vancouver (IEEE Press, 24–29 July 2016), pp. 1360–1366
2. N. Kasabov, N. Scott, E. Tu, S. Marks, N. Sengupta, E. Capecci, M. Othman, M. Doborjeh, N. Murli, R. Hartono, J. Espinosa-Ramos, L. Zhou, F. Alvi, G. Wang, D. Taylor, V. Feigin, S. Gulyaev, M. Mahmoudh, Z.-G. Hou, J. Yang, Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework. Neural Netw. 78, 1–14 (2016). http://dx.doi.org/10.1016/j.neunet.2015.09.011
3. W. Gerstner, What’s different with spiking neurons?, in Plausible Neural Networks for Biological Modelling, ed. by H. Mastebroek, H. Vos (Kluwer Academic Publishers, Dordrecht, 2001), pp. 23–48
4. J. Talairach, P. Tournoux, Co-planar Stereotaxic Atlas of The Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging (Thieme Medical Publishers, New York, 1988)
5. L. Koessler, L. Maillard, A. Benhadid et al., Automated cortical projection of EEG sensors: Anatomical correlation via the international 10–10 system. NeuroImage 46, 64–72 (2009)
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