[4Rin1-25] Cognitive map and subjective time compression generated by Hierarchical RNN
Keywords:Cognitive map, place cell, Artificial life
Animals develop cognitive maps, which are internal model of the external environment, to understand the own position and spatial characteristics of the environment, with multiple sense inputs.
Hippocampal place cell and grid cells are thought to play an important role in development this cognitive map. However, the mechanism remains not understood.Previous studies show that cognitive map self-organized in Higher-level layer of hierarchical RNN by predictive learning involving integrated vision and motion.
In addition, study using VAE-GAN with only visual information show that temporal acceleration/deceleration is observed during action on the generated cognitive map, and the relationship with subjective time compression has been discussed. Therefore, I modified previous model and involve vision and motion, and discuss the generation of cognitive maps and subjective time.
Hippocampal place cell and grid cells are thought to play an important role in development this cognitive map. However, the mechanism remains not understood.Previous studies show that cognitive map self-organized in Higher-level layer of hierarchical RNN by predictive learning involving integrated vision and motion.
In addition, study using VAE-GAN with only visual information show that temporal acceleration/deceleration is observed during action on the generated cognitive map, and the relationship with subjective time compression has been discussed. Therefore, I modified previous model and involve vision and motion, and discuss the generation of cognitive maps and subjective time.
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