信息交互设计项目 | NeuroCephLab 从深海到代码

NeuroCephLab是一个创新的互动平台，旨在通过章鱼的伪装原理来展示人工智能神经网络的工作机制。提出一种计算方法来科普头足类动物变色与人工智能机器学习的关系，探索利用技术来捕捉知识和原则，使观众能够动态地参与和发展这个计算模型。该项目采用数字孪生的手法，基于北京大学生命科学院梁希同教授的生物实验室对于章鱼变色行为的实验数据，利用网页和数据库搭建将复杂数据信息可视化，结合多维图像纹理生成和实体影像装置交互，以全新的叙事视角呈现复杂系统的生物+人工智能猜想。

该项目展示了头足类动物变色的独特性，这种能力是其他动物所不具备的。通过对头足类动物神经网络的研究，该项目不仅有助于提升现有图像生成神经网络的设计与开发，还为类脑计算、仿生机器人、虚拟时尚等领域提供了新的借鉴思路。

总体上，NeuroCephLab展示了一种跨学科的创新方法，将生物学、神经科学、人工智能与交互式技术相结合，为用户带来全新的学习和科普体验。

NeuroCephLab is an innovative interactive platform that aims to demonstrate the working mechanism of artificial intelligence neural networks through the camouflage principle of octopuses. A computational method is proposed to popularize the relationship between cephalopod color change and artificial intelligence machine learning, and explore the use of technology to capture knowledge and principles, so that the audience can dynamically participate in and develop this computational model. The project adopts the digital twin method, based on the experimental data of octopus color change behavior in the biological laboratory of Professor Liang Xitong of the School of Life Sciences of Peking University, and uses web pages and databases to visualize complex data information, combined with multi-dimensional image texture generation and physical image device interaction, to present the biological + artificial intelligence conjecture of complex systems from a new narrative perspective.

The project demonstrates the uniqueness of cephalopod color change, which is not possessed by other animals. Through the study of cephalopod neural networks, the project not only helps to improve the design and development of existing image generation neural networks, but also provides new reference ideas for brain-like computing, bionic robots, virtual fashion and other fields.

Overall, NeuroCephLab demonstrates an interdisciplinary innovative approach that combines biology, neuroscience, artificial intelligence and interactive technology to bring users a new learning and popular science experience.

网站设计技术路径 | Adobe Illustrator；Adobe Photoshop；Figma；Visual Studio Code

创作团队Creative Team：欧阳永康 Killian；李天 Lydia；李依玲 Yolanda

创作时间Creative Time: 2024/10-2025/01

指导老师Tutor:胡晓琛 Hu Xiaochen；陈天翼 Chen Tianyi；陈梦阳 Chen Mengyang

数据来源Data Source：北京大学IDG麦戈文脑科学研究所梁希同实验室 Liang Xitong Laboratory, IDG McGovern Institute for Brain Research, Peking University

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