- Introduction
Overview on how Brain enhancement as a technique and technology has been witnessing astronomical rise in interest all around the world.
- Brain enhancement: Analyzing connectivity and activity
A brief discussion on how the actual process brings out the desired results and how the activities are recorded for further readings [(Bertolero et al., 2020)].
- Brain enhancement Analysis and design
This segment demonstrates how the enhancement technology is analyzed as a digital revolution and designed with futuristic perspective [(Darby and Pascual-Leone, 2017)].
- Brain Enhancement: Tools and Techniques
The necessary tools to create the design and implementing the technique with respect to modification and adaptability [(Dees, 2008)].
- Application/Software for learning with required tools
This section discusses the application and the kind of software required for learning the technology and implementing it universally [(Gonella, Binaghi, Nocera and Mordacchini, 2019)].
- Enrichment of learning in the early age- Process and design
This segment explains how the implementation in the early age reaps benefits and designed accordingly [(Gazerani, 2017)].
- Non-Invasive techniques, Cognitive enhancement and their benefits
The part briefly discusses about the most popular non-invasive brain stimulation technologies and its evolution.
- Challenges and stigma around implementing the process
This section would throw light on the challenges faced in creating this technology and convincing people to trust the process.
- Strategies to make the process universal
Most important strategies that could make this technology be applied universally and making the learning process simpler.
- Opportunities and long-term benefits for adapting the technology
This part explains how the technology has abundant opportunities to be explored further and the benefits of the technology.
- Conclusion
This segment would conclude how Brain enhancement technology has a huge opening in the digital world waiting to be explored.
References
- Bertolero, M., Azeez, A., Khambhati, A., Mattar, M. and Romer, D., 2020. Learning differentially reorganizes brain activity and connectivity. Cornell University Library, arXiv.org, [online] Available at: <https://www.proquest.com/working-papers/learning-differentially-reorganizes-brain/docview/2124349924/se-2?accountid=30552> [Accessed 25 November 2021].
- Darby, R. and Pascual-Leone, A., 2017. Moral Enhancement Using Non-invasive Brain Stimulation. Frontiers in Human Neuroscience, [online] 11. Available at: <https://www.proquest.com/scholarly-journals/moral-enhancement-using-non-invasive-brain/docview/2289706868/se-2?accountid=30552> [Accessed 25 November 2021].
- Dees, R., 2008. Better Brains, Better Selves? The Ethics of Neuroenhancements. Kennedy Institute of Ethics Journal, [online] 17(4), pp.371-395. Available at: <https://www.proquest.com/scholarly-journals/better-brains-selves-ethics-neuroenhancements/docview/217123873/se-2?accountid=30552> [Accessed 25 November 2021].
- Gazerani, P., 2017. Performance Enhancement by Brain Stimulation. Journal of Sports Science and Medicine, [online] 16(3), pp.438-439. Available at: <https://www.proquest.com/scholarly-journals/performance-enhancement-brain-stimulation/docview/2295521393/se-2?accountid=30552> [Accessed 25 November 2021].
- Gonella, G., Binaghi, E., Nocera, P. and Mordacchini, C., 2019. Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning. Applied Sciences, [online] 9(16), p.3335. Available at: <https://www.proquest.com/scholarly-journals/investigating-behaviour-machine-learning/docview/2533568776/se-2?accountid=30552> [Accessed 25 November 2021].
