Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units

arXiv:2403.11563v1 Announce Type: cross
Abstract: This paper introduces a groundbreaking digital neuromorphic architecture that innovatively integrates Brain Code Unit (BCU) and Fundamental Code Unit (FCU) using mixedsignal design methodologies. Leveraging open-source datasets and the latest advances in materials science, our research focuses on enhancing the computational efficiency, accuracy, and adaptability of neuromorphic systems. The core of our approach lies in harmonizing the precision and scalability of digital systems with the robustness and energy efficiency of analog processing. Through experimentation, we …

abstract advances architecture arxiv brain code computational computing cs.ar cs.lg cs.ne datasets design digital groundbreaking materials materials science mixed neuromorphic neuromorphic computing paper research science signal type units