Core Insights - The article discusses the complexities of human decision-making and how it is influenced by various cognitive processes and neural mechanisms [1][2][9] Group 1: Decision-Making Mechanisms - Decision-making is a developing interdisciplinary science that combines neuroscience, psychology, mathematics, economics, and engineering [1] - Daniel Kahneman's concept of two thinking systems: System 1 is fast and automatic, while System 2 is slow and deliberate, allowing for corrections of errors made by System 1 [2] Group 2: Neural Activity in Decision-Making - Neuroscientific studies reveal multiple neural circuits in the brain that evaluate options from various perspectives, reflecting the complexity of decision-making [4] - Recent research published in "Nature" constructed a comprehensive decision-making map of the mouse brain, recording over 620,000 neurons across 279 brain regions [5][7] Group 3: Experimental Findings - The decision-making process in mice involves a complete cycle of visual input, choice, action, and reward feedback, demonstrating that even minor choices activate extensive brain regions [7] - The findings challenge the traditional linear pathway model of decision-making, suggesting a distributed network where signals emerge simultaneously across various brain areas [8]