Long‐term operation of robots creates new challenges to Simultaneous Localization and
Mapping (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

Facial repetition suppression, a well-studied phenomenon characterized by decreased
neural responses to repeated faces in visual cortices, remains a subject of ongoing debate …

The grid cells in the medial entorhinal cortex are widely recognized as a critical component
of spatial cognition within the entorhinal-hippocampal neuronal circuits. To account for the …

Spatial navigation relies on various types of neurons to form an internal representation in the
brain of the external world. Among them, grid cells are generally believed to serve as an …

The hippocampal-entorhinal circuit is considered to play an important role in the spatial
cognition of animals. However, the mechanism of the information flow within the circuit and …

How the brain encodes spatial information is an important topic. Experimental and
theoretical progresses achieved in this area mainly focused on the neuronal response in the …

The objective of this research is to achieve biologically autonomous control by utilizing a
whole-brain network model, drawing inspiration from biological neural networks to enhance …

Repetition suppression for faces, a phenomenon that neural responses are reduced to
repeated faces in the visual cortex, have long been studied. However, the underlying …

The firing maps of grid cells in the entorhinal cortex are thought to provide an efficient metric
system capable of supporting spatial inference in all environments. However, whether …

Introduction The relationship between the entorhinal cortex (EC) and the hippocampus has
been studied by different authors, who have highlighted the importance of grid cells, place …