The study shows that the neural loop mechanism and algorithm of the robust and flexible motion of the beautiful hidden rod nematode seisluds are produced.

recently, the School of Life Sciences of the Chinese University of Science and Technology, the National Research Center for Microscale Physical Sciences in Hefei, and the Center for Excellence in Brain Science and Intelligent Technology Innovation of the Chinese Academy of Sciences, a research group published an online research paper on eLife entitled Flexible ling motor generation con stereotyped d'rCombined with experimental and theoretical analysis, this study reveals the neural loop mechanism and algorithm simply produced by the beautiful hidden nematode (nematode) in the escape behaviorThe movement behavior oforganisms is both orderly and rich and variedIt is generally believed that this is a flexible combination of a series of conservative basic motion modulesIn order to explore and adapt to the environment, how the nervous system produces complex and varied sequences of motion remains a mysteryhot spring research group to nematodes as the research object, to explore the organism to produce a stable and flexible movement sequence of neural loop mechanismNematodes are ideal for the study of neurobiological model organisms, with a relatively simple but functional nervous system of only 302 neurons, about 6,400 chemical synapses and about 890 synapses (White et al., 1986)In the 1980s, the complete neural network bonding map of nematodes was reconstructed by White JG and others to synaptic resolution levels through electroscopes, laying the foundation for the study of neural loops (White et al., 1986);nematodes can steadily trigger escape behavior when exposed to potential external hazards and threats, such as mechanical or thermal stimulationThis escape behavior has conservative constituent modules (forward motion, reverse motion, turn motion), but the sequence and duration of each motion module are very differentIntegrated lightgenetictechnology, calcium imaging technology, and computational modeling, the team found that the excitatory feed-forward pathway between modules can explain why external stimuli can steadily trigger a certain movement sequence, while different motion modules between each other by mutual suppression of the implementation of winner-take-all, to achieve flexible transfer between different modes of movementShort-range synaptic plasticity and internal noise of the nervous system also play an important role in regulating the timing of motionUsing the neural network bonding map and molecular biology techniques of nematodes, the team further identified that the neural pathways for e-feed relied on the electrosynapse between the intermediate neurons and motor neurons, while the mutual inhibition between the modules relied on upstream neurons to release glutamate neurotransmitters and downstream neurons to express the corresponding chlorine ion channelsthe study of online worms, a simple and compact neural system, identified a neural loop algorithm for flexible and robust motion, raised a possibility for understanding the basic principles of higher biological motion control, and provided inspiration and ideas for the design of the next generation of brain-like machines(
Bio ValleyBioon.com).