贾宏博 JIA, Hongbo

中国科学院苏州生物医学工程技术研究所 Suzhou Insitute of Biomedical Engineering and Technology, 脑科学仪器创新中心 主任研究员 Principal Investigator
Research Interests:NeurosciencenanotechnologyAI

Reverse Engineering of Natural Intelligence


LotosScan2017.pdf

The ultimate goal of our team is to reverse-engineer natural intelligence. Our approach is simple and straightforward: we build instruments to measure natural intelligence systems to find out the underlying natural rules of how they are grown and operating.

In doing so, we also provide these instruments to other teams all around the world who share some common interests with us, and learn from their most up-to-date findings. We design, we build, we learn, and we think. By understanding how intelligence is running on DNA and protein based life forms, we look for (if ever) possible solutions to (re-)create intelligence using inorganic materials from nature including silicon out of sand, metal out of minerals, plastic out of petrol, and electricity out of sunlight.

As a side quest we also use and build those instruments to help people who need to understand and try to cure diseases of natural intelligent systems. The side quest shares some common path but not much with that of the primary one, since an intelligent organism consists of inorganic materials must deal with its own aging and defecting problems of inorganic materials instead of problems of DNA and protein based tissues.

Our team is a combination of scientists, engineers and businessmen. We work closely with our global partners in all of those fields. We welcome anyone to join or collaborate with us on the same course.

  1. {Fast high-resotution miniature two-photon microscopy for brain imaging in freely behaving mice}
    Zong, Weijian and Wu, Runlong and Li, Mingli and Hu, Yanhui and Li, Yijun and Li, Jinghang and Rong, Hao and Wu, Haitao and Xu, Yangyang and Lu, Yang and Jia, Hongbo and Fan, Ming and Zhou, Zhuan and Zhang, Yunfeng and Wang, Aimin and Chen, Liangyi and Cheng, Heping. {NATURE METHODS}: {2017}({JUL}) ,{14}({7}) ,{713+}
  2. {Linear integration of spine Ca2+ signals in layer 4 cortical neurons in vivo}
    Jia, Hongbo and Varga, Zsuzsanna and Sakmann, Bert and Konnerth, Arthur. {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}: {2014}({JUN 24}) ,{111}({25}) ,{9277-9282}
  3. {In vivo two-photon imaging of sensory-evoked dendritic calcium signals in cortical neurons}
    Jia, Hongbo and Rochefort, Nathalie L. and Chen, Xiaowei and Konnerth, Arthur. {NATURE PROTOCOLS}: {2011}({JAN}) ,{6}({1}) ,{28-35} Download
  4. {Dendritic coding of multiple sensory inputs in single cortical neurons in vivo}
    Varga, Zsuzsanna and Jia, Hongbo and Sakmann, Bert and Konnerth, Arthur. {PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}: {2011}({SEP 13}) ,{108}({37}) ,{15420-15425} Download
  5. {Dendritic organization of sensory input to cortical neurons in vivo}
    Jia, Hongbo and Rochefort, Nathalie L. and Chen, Xiaowei and Konnerth, Arthur. {NATURE}: {2010}({APR 29}) ,{464}({7293}) ,{1307-1312} Download
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Updated on:2017-12-15 17:39      Total Visits:1050

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