The human brain, containing approximately 86 billion neurons and 100 trillion synapses, is a highly complex organ that governs intelligence and cognition. While traditional neuroscientific approaches offer significant insights, they face limitations i...
The human brain, containing approximately 86 billion neurons and 100 trillion synapses, is a highly complex organ that governs intelligence and cognition. While traditional neuroscientific approaches offer significant insights, they face limitations in fully understanding the intricate dynamics of the brain. To address these challenges, brain-morphic simulators have emerged as promising tools that utilize high-performance computing and big data to replicate the brain҆s structure and function. These simulators offer new opportunities for testing hypotheses, studying brain disorders, and advancing artificial intelligence by providing precise models of brain mechanisms. This paper presents a comprehensive review of the development and current trends in brainmorphic simulators, analyzing major projects such as the Blue Brain Project and the Human Brain Project. Additionally, we explore the technical challenges faced by these simulators and their potential in transforming neuroscience and related fields. By providing a detailed understanding of these technologies, this study aims to highlight their significance and future directions in brain research.