Abstract
Place cells and grid cells are crucial parts of the cognitive map, which shows a presentation of the real-world observation. However, the previous architecture, which uses CAN for simulating the activities of grid cells, is redundant. And it could not generate natural activities of place cells while it needs many computing resources and storage. In this paper, we proposed a simple novel mathematic entorhinal-hippocampal system to build an accurate cognitive map by combining the activities of head direction cells, grid cells, place cells, and visual cues. It has fewer parameters and could generate a natural pattern of place cells. Moreover, we could also perform a cognitive map building system with generated weight without training.
This work was supported by the National Natural Science Foundation of China under grant number 61773271 and the National Key Research and Development Program of China under grant 2017YFB1300201.
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Peng, J., Dang, S., Yan, R., Tang, H. (2020). A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. In: Yang, H., Pasupa, K., Leung, A.CS., Kwok, J.T., Chan, J.H., King, I. (eds) Neural Information Processing. ICONIP 2020. Lecture Notes in Computer Science(), vol 12533. Springer, Cham. https://doi.org/10.1007/978-3-030-63833-7_1
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