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.
This segment would conclude how Brain enhancement technology has a huge opening in the digital world waiting to be explored.
- 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].