Goal-directed navigation requires continuously integrating uncertain self-motion and
landmark cues into an internal sense of location and direction, concurrently planning future …

Due to small imaging range of lens, blurring by jitter in the operation process and high
similarity of urethral image features observed in different positions, doctors often face …

This work addresses the challenge of navigating expansive spaces with sparse rewards
through Reinforcement Learning (RL). Using topological maps, we elevate elementary …

The field of traditional mobile robot navigation has undergone a gradual transformation,
evolving into a standardized and procedural research domain. Through a fresh cognitive …

To survive in a changing world, animals often need to suppress an obsolete behavior and
acquire a new one. This process is known as reversal learning (RL). The neural …

Kognitivní schopnosti" plazů" byly dlouho opomíjeným tématem ve srovnání s výzkumem
kognice u dalších dvou skupin tetrapodů-savců a ptáků. V poslední době se však poměrně …

In the realm of advanced cognitive processes, animals employ both egocentric and
allocentric reference frames for navigation. While prior studies have largely concentrated on …

Effectively capturing individual-and collective-level human mobility is paramount to solving
many modern societal challenges. In the last few years, thanks to the availability of big …