摘要
近年来,脑科学在技术方法上获得了长足的进步,多种成像手段能够为我们提供从脑功能区到亚细胞结构的活体实时成像数据。同时,深度学习算法等神经网络算法被广泛应用,获得了突破性进展。这些算法与神经生物学的基本原则相符,也将成为模拟脑的有力工作平台。
Modern techniques in brain sciences have improved greatly in the past 20 years. The combination of multiple imaging techniques provides us in vivo live images of brain functional domains, as well as sub-cellular structures of a neuron. At the same lime, deep learning neural network was widely applied and ground breaking improvement was achieved in various tields. This neural network shares similar organization principles in neurobiology, which may be a powerful platform to simulate the brain function.
出处
《自然杂志》
2016年第6期399-406,共8页
Chinese Journal of Nature
关键词
双光子成像
内源性光学成像
功能核磁共振
深度学习
人工智能
two photon imaging, intrinsic signal optical imaging, function MRI, deep learning, artificial intelligence