It was interesting for me to watch this TED Talk since it gave a number of insights and provided information about a unique experiment that can change the way people see the world. Even though it was a little bit challenging to understand the ideas covered because of their complexity and scientific pint of view, it is useful for the understanding of the brain and its functions. One thing that surprised me the most, is definitely the money experiment that proved that it takes only a brain activity to generate a specific movement or complete an action (Nicolelis, 2012). It may seem impossible and as something out of the real world; however, one the example of this RED Talk it became clear that everything is possible when enough effort is put into it.
Due to constant technological advancement, various sorts of brain-computer interfaces will be developed. I believe that in the future scientists will focus more on creating interfaces that will be used in medicine and education. For instance, creating computers that will help paralyzed individuals in their daily lives or students to measure their cognitive performance (Ramadan & Vasilakos, 2017). In this case, different sensorimotor structures and functions will be of a great importance since they will contribute to the understanding of brain responses and advancements that should be made to the newly developed interfaces (Reseika et al., 2018). It has to be mentioned that a number of ethical considerations may arise as a result of the creation of brain computers. People may perceive that the real function of the human body will be disrespected and individuals’ brain will be taken as an advantage for research. These problems can be resolved by spreading information about the essential role of interfaces and their influence on the lives of humans.
References
Nicolelis, M. (2012). A monkey that controls a robot with its thoughts. No, really [Video]. TED. Web.
Ramadan, R. A., & Vasilakos, A. V. (2017). Brain computer interface: control signals review. Neurocomputing, 223, 26-44. Web.
Rezeika, A., Benda, M., Stawicki, P., Gembler, F., Saboor, A., & Volosyak, I. (2018). Brain–computer interface spellers: A review. Brain sciences, 8(4), 57. Web.