Bridging Biological Inspiration and Design Innovation: A Cross-Disciplinary Approach to Neuromorphic Systems

Abstract

Here we present a novel cross-disciplinary framework that integrates bio-inspired neuromorphic computing principles with design innovation methodologies to address complex challenges in human-computer interaction and intelligent systems. Drawing inspiration from the efficient and adaptive nature of biological neural systems, particularly the intrinsic plasticity observed in molybdenum disulfide-based artificial neurons, this work explores how such advanced hardware capabilities can be leveraged within a design-centric paradigm. We demonstrate a conceptual shift from purely technical optimization to a holistic approach that considers user experience, commercial viability, and cultural integration. This paper outlines a methodology for translating the neurodynamic behaviors of artificial neurons into actionable design insights, leading to the development of more intuitive, energy-efficient, and context- aware intelligent products and services. Our findings suggest that by fostering a synergistic relationship between cutting-edge neuroscience and human-centered design, we can unlock new possibilities for creating truly adaptive and impactful technological solutions.