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Neuropunk revolution in short.

Authors :
Vallverdú, Jordi
Talanov, Max
Source :
International Journal of Parallel, Emergent & Distributed Systems; Jan2024, Vol. 39 Issue 1, p75-85, 11p
Publication Year :
2024

Abstract

The 'neuropunk revolution' represents an innovative approach focused on the integration of human–machine interfaces through nerve and neural pathways. This cutting-edge concept seeks to push the boundaries of human–machine interaction by exploring the intricate connections between the human nervous system and artificial technologies. Neuropunk delves into the realm of cyborg technologies, blurring the lines between humans and machines and opening up new possibilities for augmenting human capabilities. By tapping into nerve and neural pathways, neuropunk envisions a future where individuals can seamlessly interface with technology, leading to enhanced sensory perception, cognitive abilities, and physical performance. This concept encapsulates a rebellious and unconventional spirit, challenging traditional notions of the human body and its relationship with technology. This paper discusses the challenges and potential of neuropunk, exploring the fusion of scientific exploration, technological innovation, and a punk-inspired ethos in advancing human–machine integration. It highlights the emergence of real-time neurosimulations and neuromorphic computing as key tools to achieve these aspirations. Additionally, the integration of neurological and hormonal bioinspiration is examined as a promising approach to the design of neural interfaces, fostering more efficient and effective technologies that align better with the human body. Finally, the paper addresses ethical considerations and research tasks to responsibly navigate the neuropunk revolution, ensuring a future that maximizes the benefits of neural interfaces while mitigating potential risks and promoting ethical principles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17445760
Volume :
39
Issue :
1
Database :
Complementary Index
Journal :
International Journal of Parallel, Emergent & Distributed Systems
Publication Type :
Academic Journal
Accession number :
174204383
Full Text :
https://doi.org/10.1080/17445760.2023.2263621