REFERENCES;
[1] Lin, P., Abney, K. and Bekey, G. A. (2014). Robot Ethics. MIT Press, Cambridge, MA, USA.
[2] Wallach, W. and Allen, C. (2010). Moral Machines: teaching robots right from wrong. Oxford University Press.
[3] COMEST (2017). SHS/YES/COMEST-10/17/2 REV. United Nation, World Commission on the Ethics of Scientific Knowledge and Technology.
[4] Anderson, M., Anderson, S. L. (2015). “Toward ensuring ethical behavior from autonomous systems: a case-supported principle-based paradigm.” Industrial Robot: An International Journal 42/4, pp. 324–331 © Emerald Group Publishing Limited [ISSN 0143-991X] [DOI 10.1108/IR-12-2014-0434].
[5] Calo, R., Froomkin, A. M., Kerr, A. (Editors), (2016). Robot Law. Edward Elgar Pub; First Edition (March 29, 2016).
[6] Van Wynsberghe, A. (2016). Healthcare Robots Ethics, Design and Implementation. Published 2016 by Routledge New York, NY 10017, USA.
[7] M. F. Casanova. (2004). “White Matter Volume Increase and Minicolumns in Autism”, Annals of Neurology, Volume 56, Issue 3, p. 453.
[8] Casanova, M. F., Casanova, E. L. (2019). “The modular organization of the cerebral cortex: Evolutionary significance and possible links to neurodevelopmental conditions”, Journal of Comparative Neurology, 07/2019, Volume 527, Issue 10, pp. 1720-1730.
[9] Penfield W. and Jasper H. (1954). Epilepsy and the functional anatomy of the human brain. Boston, Little, Brown & Co.
[10] Morishita, T., Miki, K. and Inoue, T. (2019). “Penfield’s Homunculus and recent advances in brain mapping”, World Neurosurgery (Elsevier), made available online, Nov. 27, 2019.
[11] Gandhoke, G. S. et al. (2019). “Edwin Boldrey and Wilder Penfield's Homunculus: A Life Given by Mrs. Cantlie (In and Out of Realism”, World Neurosurgery, V.132, December 19, 2019, pp. 377-388.
[12] Moyes, C. D. and Schulte, P. M. (2016). Principles of Animal Physiology. 3rd edition. Pearson Education Inc.
[13] Finger, S. (2000). Minds behind the brain: a history of the pioneers and their discoveries. Oxford University Press, USA.
[14] Di Plinoi, S. Ebisch, S. J. (2018). “Brain network profiling defines functionally specialized cortical networks”, Huaman Brain Mapping, V.39, issue 12, Dec. 2018, pp. 4689-4706.
[15] Schroter M. et al. (2018). “Mapping neuronal network dynamics in developing cerebral organoids”, Frontiers in cellular neuroscience, V.12, January 2018, DOI: 10.3389/conf.fncel.2018.38.00066
[16] C. Krebs, J. Weinberg, E. Akesson, E. Dilli. (2017). Lippincott Illustrated Reviews: Neuroscience, Second edition, Wolters Kluwer.
[17] Yaseen, Z.M., et al., "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction," Journal of Hydrology 569: 387-408 2019.
[18] Liu, X. et al.(2019). “Fine-tuning Pre-trained Convolutional Neural Networks for Gastric Precancerous Disease Classification on Magnification Narrow-band Imaging Images”, Neurocomputing, Article in press, https://doi.org/10.1016/j.neucom.2018.10.100
[19] Joghataie, A., Torghabehi O. O. (2014). “Simulating dynamic plastic continuous neural networks by finite
elements.” IEEE Trans. Neural Netw. Learn. Syst. 25(8):1583–1587
[20] Joghataie A., Shafiei Dizaji M. (2018). “Neuro-Skins: dynamics, plasticity and effect of neuron type and cell size on their response.” Publisher: Springer US, Neural Process Letters, https://doi.org/10.1007/s11063-018-9795-7.
)