Arbib Michael A
University of California at San Diego, La Jolla, CA, USA.
Biol Cybern. 2025 Jun 28;119(4-6):16. doi: 10.1007/s00422-025-01013-5.
After noting the cybernetic origins of Kybernetik/ Biological Cybernetics, we respond to the Editorial by Fellous et al. (2025) and then analyze talks from the NIH BRAIN NeuroAI 2024 Workshop to get one "snapshot" of the state of the conversation between Artificial intelligence (AI) and brain theory (BT). Key recommendations going beyond the earlier Editorial are that: (i) Successes in fitting ANNs to increasingly large neuroscience datasets must not distract us from the quixotic but demanding quest to understand "how the brain works" and discover underlying brain (and AI) operating principles. (ii) We must integrate functional and structural analyses in exploring systems of systems, integrating structures (e.g., brain regions, cortical modules) and functions (e.g., schemas for perception, action and cognition) that bridge between neural circuitry and patterns of behavior. (iii) We must study the diversity of intelligences exhibited by animals in their strategies for survival and not only the disembodied employment of language and reasoning. Finally and briefly, we note the urgency of assessing the societal implications of an age of increasingly pervasive human-machine symbiosis.
在注意到《控制论/生物控制论》的控制论起源后，我们回应了费卢斯等人（2025年）的社论，然后分析了美国国立卫生研究院（NIH）2024年大脑神经人工智能研讨会上的演讲，以获取人工智能（AI）与大脑理论（BT）之间对话状态的一个“快照”。超越早期社论的关键建议是：（i）将人工神经网络（ANN）与越来越大的神经科学数据集相拟合的成功，绝不能使我们偏离理解“大脑如何工作”以及发现潜在大脑（和人工智能）运作原理这一不切实际但要求颇高的探索。（ii）在探索系统之系统时，我们必须整合功能分析和结构分析，整合连接神经回路与行为模式的结构（如脑区、皮层模块）和功能（如感知、行动和认知模式）。（iii）我们必须研究动物在生存策略中展现出的智能多样性，而不仅仅是脱离实体的语言和推理运用。最后简要指出，评估日益普遍的人机共生时代的社会影响迫在眉睫。
