SPATIAL LOCALIZATION AND NEURAL MECHANISMS OF PATH INTEGRATION
Keywords:
Path integration, Hippocampus, Entorhinal cortex, Grid cellsAbstract
In the past one hundred years, research on brain functions has continuously explored the principles of coding and decoding of the nervous system, including perception, recognition, positioning, The coding principles of motor control, decision-making, etc. are interpreted layer by layer. since 1971 Since the discovery of place cells, scholars have John O'Keefe Neuroscientists represented by the Department of Neurosurgery have conducted a large number of representative studies on spatial localization and path integration. Different types of nerve cells have been discovered one after another, and the neural network mechanisms encoded by them have become increasingly clear. At the same time, due to the vigorous development of unmanned systems in recent years, There is also a strong desire for good spatial algorithms in the engineering field. In this review, we review the current research progress in spatial localization in the field of neuroscience and discuss the latest relevant theoretical results achieved by applying artificial neural networks. In the foreseeable future, neuroscience experimental research and artificial neural network model research will promote each other and make iterative progress, and this cyclic development model will also make greater contributions to the fields of neuroscience and engineering.References
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