1 research outputs found
Neuromorphic Place Cells
A neuromorphic SLAM system shows potential for more efficient implementation
than its traditional counterpart. We demonstrate a mixed-mode implementation
for spatial encoding neurons including theta cells, vector cells, and place
cells. Together, they form a biologically plausible network that could
reproduce the localization functionality of place cells. The system consists of
a theta chip with 128 units and an FPGA encoding 4 networks for vector cells
formation that provides the capability for tracking on a 11 by 11 place cell
grid. Experimental results validate the robustness of our model when suffering
from 18% standard deviation from mathematical models induced by variations of
analog circuits. We provide a foundation for implementing dynamic neuromorphic
SLAM systems for nonhomogeneous mapping and inspirations for the formation of
spatial cells in biology.Comment: 20 pages, draft for Journal pape