Bridging Mind and Machine: Enhancing Human Potential Through Self-Regulation and Brain-Computer Interfaces

Mohammad Parhamfar; Milad Taheri; Zahir Bandegani; Ghita Lazrek; Hajar Fares

doi:10.71426//jcdt.v1.i2.pp77-94

Authors

Mohammad Parhamfar Independent Researcher and Entrepreneur, Iran. Email: drparhamfar@gmail.com, ORCID: https://orcid.org/0000-0002-3442-8270 Author
Milad Taheri 1-Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran. 2-Safahan Institute of Higher Education, Isfahan, Iran, Email: m.taheri@Safahan.ac.ir , milad.taheri@iau.ir, ORCID: https://orcid.org/0009-0001-0619-6601 Author
Zahir Bandegani Independent Researcher, Isfahan. Iran. Email: z.bandegani@hotmail.com , ORCID: https://orcid.org/0000-0002-2758-6844 Author
Ghita Lazrek Lab LIASSE, École Nationale des Sciences Appliquées de Fès, Sidi Mohamed Ben Abdellah University (USMBA), Fez, Morocco. Email: ghita.lazrek@usmba.ac.ma , lazrekghita@gmail.com , ORCID: https://orcid.org/0009-0004-7306-7369 Author
Hajar Fares Faculty of Sciences, Abdelmalek Essaadi University, Tetouan 93000, Morocco. Email: hajar.fares@etu.uae.ac.ma , ORCID: https://orcid.org/0009-0006-1070-8290 Author

DOI:

https://doi.org/10.71426//jcdt.v1.i2.pp77-94

Keywords:

Brain-Computer Interfaces (BCIs), Cognitive enhancement, Neurotechnology, Neuroleptics, Human-Machine Integration

Abstract

In an era defined by accelerating neurotechnological innovation and heightened cognitive demands, the pursuit of human enhancement is reaching unprecedented heights. This paper explores two converging frontiers of optimization: internal strategies of mind management and external augmentation via brain-computer interfaces (BCIs). Drawing from recent empirical research, mathematical models, and startup ecosystems, also analyzed how self-regulation techniques such as mindfulness, reframing, and attentional training intersect with emerging neurotechnology to expand cognitive capacity, productivity, and mental well-being. Clinical applications of BCIs, including Deep Brain Stimulation (DBS) and Responsive Neurostimulation (RNS), are evaluated alongside non-invasive wearables, with comparative insights into efficacy and patient outcomes. Furthermore, the study examines advanced BCI architectures, ethical dilemmas in military and defense applications, and emerging strategies within the commercial neurotechnology market. In parallel, mathematical optimization frameworks and neuro-algorithmic models are presented to bridge the disciplines of neuroscience and artificial intelligence, highlighting their synergistic potential for cognitive enhancement. By synthesizing interdisciplinary insights, the paper outlines future research directions and offers a critical roadmap for responsible innovation in the medical and business sectors. Ultimately, this study positions the integration of self-directed mental practices and neurotechnological tools as a dual engine for unlocking human potential.

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