1. Abdel-Basset, M., Mohamed, M., & Smarandache, F. (2018). An extension of neutrosophic AHP–SWOT analysis for strategic planning and decision-making. Symmetry, 10(4), 116.
2. Bahman, S., & Shamsollahi, M. B. (2019). Robot Control Using an InexpensiveP300 Based BCI. Paper presented at the 2019 26th National and 4th International Iranian Conference on Biomedical Engineering (ICBME).
3. Bidaki, R., Mirhosseini, H., Moosavipoor, S. A., & Mirhosseini, S. (2016). Effects of cranial electro stimulation (ces) on modulated brain waves. Journal of Advance Research in Pharmacy & Biological Science (ISSN: 2208-2360), 2(4), 85-81.
4. Boly, M., Gosseries, O., Massimini, M., & Rosanova, M. (2016). Functional neuroimaging techniques. In The Neurology of Conciousness, 31-47.
5. Casson, A. J. (2019). Wearable EEG and beyond. Biomedical engineering letters, 9(1), 53-71.
6. Chai, R., Naik, G. R., Ling, S. H., & Nguyen, H. T. (2017). Hybrid brain–computer interface for biomedical cyber-physical system application using wireless embedded EEG systems. Biomedical engineering online, 16(1), 5.
7. Coogan, C. G., & He, B. (2018). Brain-computer interface control in a virtual reality environment and applications for the internet of things. IEEE Access, 6,10840-10849.
8. Cooper, D. R., Schindler, P. S., & Sun, J. (2006). Business research methods, 9, McGraw-Hill Irwin New York.
10. Dayan, P., & Abbott, L. (2003). Theoretical neuroscience: computational and mathematical modeling of neural systems. Journal of Cognitive Neuroscience, 15(1), 154-155.
11. Eaton, M. L., & Illes, J. (2007). Commercializing cognitive neurotechnology—theethical terrain. Nature biotechnology, 25(4), 393.
12. Gaugler, J., James, B., Johnson, T., Marin, A., & Weuve, J. (2019). Alzheimer's disease facts and figures. Alzheimers & Dementia, 15(3), 321-387.
13. Goering, S., & Yuste, R. (2016). On thenecessity of ethical guidelines for novel neurotechnologies. Cell, 167(4), 882-885.
14. Gürel, E., & Tat, M. (2017). SWOT analysis: a theoretical review. Journal of International Social Research, 10(51).
15. Hosseini, Z., Ghorbani, Z., & Ebn Ahmady, A.(2015). Face and content validity and reliability assessment of change cycle questionnaire in smokers. Journal of Mashhad Dental School, 39(2), 147-154.
16. Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life sciences, society and policy, 13(1), 5.
17. Man, D., & Olchawa, R. (2018). Brain Biophysics: Perception, Consciousness, Creativity. Brain Computer Interface (BCI). Paper presented at the International Scientific Conference BCI 2018 Opole.
18. Mankins, J. C. (1995). Technology readiness levels. White Paper, April, 6, 1995.
19. 19. Nguyen, J.-P., Nizard, J., Keravel, Y., & Lefaucheur, J.-P. (2011). Invasive brain stimulation for the treatment of neuropathic pain. Nature Reviews Neurology,(12)7, 699.
20.
Panahi, R., Soor, B., Hashemin Nasab, Z., & Qaderpoor, E. (2018).
Quarterly Journal of Cognition and Brain, 6, 14-17. Retrieved from
www.cogc.ir
21. Paulus, W. (2011). Transcranial electrical stimulation (tES–tDCS; tRNS, tACS) methods. Neuropsychological rehabilitation, 21(5), 602-617.
22. Ramadan, R. A., & Vasilakos, A. V. (2017). Brain computer interface: control signals review. Neurocomputing, 223, 26-44.
23. Roelfsema, P. R., Denys, D., & Klink, P. C. (2018). Mind reading and writing: The future of neurotechnology. Trends in cognitive sciences, 22(7), 598-610.
24. Sheykhi, M. T. (2017). Aging and the Consequent Alzheimer’s Disease in Iran: An Outlook. of 6. of, 6, 2.
25. Siar, H., & Teshnehlab, M. (2019). Diagnosing and Classification Tumors and MS Simultaneous of Magnetic Resonance Images Using Convolution Neural Network. Paper presented at the 2019 7th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS).
26. Slaby, J., & Choudhury, S. (2018). Proposal for a critical neuroscience. In The Palgrave handbook of biology and society, 341-370, Springer.
27. Snowball, A., Tachtsidis, I., Popescu, T., Thompson, J., Delazer, M., Zamarian, L., & Kadosh, R. C. (2013). Long-term enhancement of brain function and cognition using cognitive training and brain stimulation. Current Biology, 23(11), 987-992.
28. Sumner, P. J., Bell, I. H., & Rossell, S. L. (2018). A systematic review of the structural neuroimaging correlates of thought disorder. Neuroscience & Biobehavioral Reviews, 84, 299-315.
29. Tomaschek, K., Olechowski, A., Eppinger, S., & Joglekar, N. (2016). A Survey of Technology Readiness Level Users. Paper presented at the INCOSE International Symposium.
30. Yoo, S.-S., Kim, H., Filandrianos, E., Taghados, S. J., & Park, S. (2013). Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains. PloS one, 8(4), e60410.
31. Zulkarnain, A., Wahyuningtias, D., & Putranto, T. (2018). Analysis of IFE, EFE and QSPM matrix on business development strategy. Paper presented at the IOP Conference Series: Earth and Environmental Science.
1. Abdel-Basset, M., Mohamed, M., & Smarandache, F. (2018). An extension of neutrosophic AHP–SWOT analysis for strategic planning and decision-making. Symmetry, 10(4), 116.
2. Bahman, S., & Shamsollahi, M. B. (2019). Robot Control Using an InexpensiveP300 Based BCI. Paper presented at the 2019 26th National and 4th International Iranian Conference on Biomedical Engineering (ICBME).
3. Bidaki, R., Mirhosseini, H., Moosavipoor, S. A., & Mirhosseini, S. (2016). Effects of cranial electro stimulation (ces) on modulated brain waves. Journal of Advance Research in Pharmacy & Biological Science (ISSN: 2208-2360), 2(4), 85-81.
4. Boly, M., Gosseries, O., Massimini, M., & Rosanova, M. (2016). Functional neuroimaging techniques. In The Neurology of Conciousness, 31-47.
5. Casson, A. J. (2019). Wearable EEG and beyond. Biomedical engineering letters, 9(1), 53-71.
6. Chai, R., Naik, G. R., Ling, S. H., & Nguyen, H. T. (2017). Hybrid brain–computer interface for biomedical cyber-physical system application using wireless embedded EEG systems. Biomedical engineering online, 16(1), 5.
7. Coogan, C. G., & He, B. (2018). Brain-computer interface control in a virtual reality environment and applications for the internet of things. IEEE Access, 6,10840-10849.
8. Cooper, D. R., Schindler, P. S., & Sun, J. (2006). Business research methods, 9, McGraw-Hill Irwin New York.
10. Dayan, P., & Abbott, L. (2003). Theoretical neuroscience: computational and mathematical modeling of neural systems. Journal of Cognitive Neuroscience, 15(1), 154-155.
11. Eaton, M. L., & Illes, J. (2007). Commercializing cognitive neurotechnology—theethical terrain. Nature biotechnology, 25(4), 393.
12. Gaugler, J., James, B., Johnson, T., Marin, A., & Weuve, J. (2019). Alzheimer's disease facts and figures. Alzheimers & Dementia, 15(3), 321-387.
13. Goering, S., & Yuste, R. (2016). On thenecessity of ethical guidelines for novel neurotechnologies. Cell, 167(4), 882-885.
14. Gürel, E., & Tat, M. (2017). SWOT analysis: a theoretical review. Journal of International Social Research, 10(51).
15. Hosseini, Z., Ghorbani, Z., & Ebn Ahmady, A.(2015). Face and content validity and reliability assessment of change cycle questionnaire in smokers. Journal of Mashhad Dental School, 39(2), 147-154.
16. Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life sciences, society and policy, 13(1), 5.
17. Man, D., & Olchawa, R. (2018). Brain Biophysics: Perception, Consciousness, Creativity. Brain Computer Interface (BCI). Paper presented at the International Scientific Conference BCI 2018 Opole.
18. Mankins, J. C. (1995). Technology readiness levels. White Paper, April, 6, 1995.
19. 19. Nguyen, J.-P., Nizard, J., Keravel, Y., & Lefaucheur, J.-P. (2011). Invasive brain stimulation for the treatment of neuropathic pain. Nature Reviews Neurology,(12)7, 699.
20.
Panahi, R., Soor, B., Hashemin Nasab, Z., & Qaderpoor, E. (2018).
Quarterly Journal of Cognition and Brain, 6, 14-17. Retrieved from
www.cogc.ir
21. Paulus, W. (2011). Transcranial electrical stimulation (tES–tDCS; tRNS, tACS) methods. Neuropsychological rehabilitation, 21(5), 602-617.
22. Ramadan, R. A., & Vasilakos, A. V. (2017). Brain computer interface: control signals review. Neurocomputing, 223, 26-44.
23. Roelfsema, P. R., Denys, D., & Klink, P. C. (2018). Mind reading and writing: The future of neurotechnology. Trends in cognitive sciences, 22(7), 598-610.
24. Sheykhi, M. T. (2017). Aging and the Consequent Alzheimer’s Disease in Iran: An Outlook. of 6. of, 6, 2.
25. Siar, H., & Teshnehlab, M. (2019). Diagnosing and Classification Tumors and MS Simultaneous of Magnetic Resonance Images Using Convolution Neural Network. Paper presented at the 2019 7th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS).
26. Slaby, J., & Choudhury, S. (2018). Proposal for a critical neuroscience. In The Palgrave handbook of biology and society, 341-370, Springer.
27. Snowball, A., Tachtsidis, I., Popescu, T., Thompson, J., Delazer, M., Zamarian, L., & Kadosh, R. C. (2013). Long-term enhancement of brain function and cognition using cognitive training and brain stimulation. Current Biology, 23(11), 987-992.
28. Sumner, P. J., Bell, I. H., & Rossell, S. L. (2018). A systematic review of the structural neuroimaging correlates of thought disorder. Neuroscience & Biobehavioral Reviews, 84, 299-315.
29. Tomaschek, K., Olechowski, A., Eppinger, S., & Joglekar, N. (2016). A Survey of Technology Readiness Level Users. Paper presented at the INCOSE International Symposium.
30. Yoo, S.-S., Kim, H., Filandrianos, E., Taghados, S. J., & Park, S. (2013). Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains. PloS one, 8(4), e60410.
31. Zulkarnain, A., Wahyuningtias, D., & Putranto, T. (2018). Analysis of IFE, EFE and QSPM matrix on business development strategy. Paper presented at the IOP Conference Series: Earth and Environmental Science.
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