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Recently, Zhu Yingjie, a researcher at the Institute of Brain Cognition and Brain Disease at the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, teamed up with Chen Xiaoke, a professor in the Department of Biology at Stanford University in the United States, to discover that the brain has a mechanism for dynamically assessing the importance of external information, the ventricular side nuclear (PVT), which allows the brain to make appropriate choices in assessing the importance of events in different environmental and physiological conditions. on 26 October
, the results of dynamics salience processing in paravention thalamus gates artive learning ("Joint Learning on Dynamic Assessment Of The CriticalIty Mechanism of the Ventual Ventricular Core Control Joint Learning") were published online in the international academic journal Science (Science, DOI: 10.1126/science.aat0481).
Zhu Yingjie is the first author of the paper, chen Xiaoke is the author of the paper.
the researchers first trained mice to do olfactory Bapurov conditional learning, combining different odor stimuli with rewards (water) or punishment (blowing or electric shocks), and found that the ventricular nucleus (PVT) neurons located in the middle of the brain were activated by important events, both reward and punitive stimulation. the significance (importance) of
external stimuli depends not only on the physical characteristics of the stimulus itself, but also on the animal's internal physiological state and the external environment in which it is located.
researchers through fiber-optic imaging recording technology and single-cell electrophysiological recording technology from different angles repeatedly verified that the activity of PVT neurons can reflect the animal's importantness according to the animal's internal physiological state and external environment.
assessment of the importance of information helps to focus attention on important events and improves their ability to learn about them.
they used optogenetic neuroregulation to find that PVT controlled the rate and effect of learning in mice.
in the olfactory Bapurof conditional learning, mice were able to learn to mate smell scents with water rewards, in the form of expected licking of water.
the rate and effect of this conjugal learning are greatly impaired after the artificial use of optical genetic technology inhibits PVT activity.
this shows that PVT activity is very important for learning ability.
Figure 2: PVT encodes the significance of stimulation.
A: Olphysphal Pavlov conditional learning experimental paradigm; B: mouse behavior; C: Fiber-optic records show that PVT is activated by reward or punishment; and D: Electrophysiological records show that individual PVT neurons can be activated by reward and punishment, thus encoding the significance of stimulation.
the importance of information is an advanced brain function that helps people adapt better to changing environments and controls people's attention and learning abilities.
related findings have laid an important foundation for future research on how to improve the cognitive and learning abilities of the brain, and are of breakthrough significance for the cognition and treatment of the general population and patients with brain disease.
in addition, the brain mechanism study may also provide new research ideas for the future combination of brain intelligence and artificial intelligence technology.
the research was supported by the National Natural Science Foundation of China project, Shenzhen Science and Technology Project, etc.
Source: Science Daily.