Introduction:
The human brain, a vast reservoir of creativity, drives the generation of new realms of intelligence, often realized through artificial organisms. In architectural education, controlled learning environments nurture knowledge acquisition and skill development. Neuroscience-based teaching methods unravel neural networks, enabling educators to enhance natural intelligence by shaping cognitive pathways. Simultaneously, artificial intelligence (AI) is transforming education as a catalyst for innovation, reshaping learning and professional practices in architecture and urban planning.

Methods:
This study adopts an interdisciplinary approach, integrating neuroscience insights and AI tools to explore their combined impact on architectural education. Cognitive mapping techniques and case studies are employed to analyze neuropatterns involved in design thinking and spatial problem-solving. AI-driven learning models are also evaluated for their role in supporting personalized and adaptive educational experiences.

Results:
Findings indicate that the integration of AI and neuroscience-informed strategies significantly enhances the educational process. Neuroscience insights align teaching methods with cognitive functions, while AI tools enable personalized learning, accelerate design ideation, and strengthen professional skills. Neuropattern analysis reveals strong correlations between cognitive processes and the creative workflows cultivated in AI-enhanced education.

Discussion:
This study demonstrates that combining neuroscience and AI in architectural education fosters a deeper understanding of human cognition and its application to design. By leveraging neuropatterns and AI capabilities, educators can nurture both natural and augmented intelligence, equipping students to address complex challenges in professional practice.

Conclusion:
The research highlights the transformative potential of integrating AI and neuroscience in architecture education. This approach offers a pathway to develop future-ready architects and urban planners, with an emphasis on innovation, empathy, and adaptability. Further research is needed to explore scalable applications and address ethical considerations, ensuring these advancements are accessible and equitable.

Keywords: Architecture and urban planning education, neuroscience, creative brain, thinking patterns, learning paths, artificial intelligence.