10รับ100 ทํา 300 ถอนได้ 100 可在无监督环境中通过与环境的互动进行学习, 提高了适应性, 但需要大量数据和计算资源进行训练, 运行成本高
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· 基于猴子和人类的生物学研究结果，我们提出并构建了类脑身体自我感知模型
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身体自我意识的核心是对自己身体所有权的感知。近年来，为了更深入地了解大脑如何编码身体所有权，研究者试图从预测编码和贝叶斯因果推理的角度，建立统一的理论框架来解释身体自我意识中的行为和神经生理现象。对于这些理论模型，需要解释的一个核心问题是诸如橡胶手错觉之类的身体错觉是如何发生的。橡胶手错觉是指，当橡胶手和被试看不见的真手同时受到触觉和视觉刺激时，被试会产生错觉，认为橡胶手似乎变成了自己的手。
在我们类脑认知智能实验室，我们有一个共识，即自我感知是自然智能和人工智能的基石。它是自我意识的基础，对自我觉知、自我识别、直至基于自我经验的学习和决策等更高层次的认知都是至关重要的。因此，自我意识的计算模型及其对大脑和意识的启发是我们的最终目标之一。在几位同事的共同努力下，我们从结合理论和数据驱动的方法入手，构建自我感知的计算模型。类脑机器人镜像自我识别模型是我们的第一次尝试，这一次，我们将重点放在了机器人橡胶手错觉的类脑身体自我感知模型上，这比我们七年前对类脑机器人镜像自我识别模型的研究更加深入。
他们基于猴子和人类的生物学研究结果，提出类脑身体自我感知模型，该模型可以复现多种橡胶手错觉实验。实验结果表明，该模型不仅可以在行为和神经元尺度复现人类和猴子在生物学实验中的结果，而且可以在神经元尺度合理地解释橡胶手错觉产生的原因和结果。该模型有助于揭示橡胶手错觉背后的计算机制和生物机制，并最终为进一步探索具身智能和身体自我意识的人工智能实现奠定坚实的基础。
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