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Explores cognitive charge, memory, knowledge types, mental models, spatial orientation, and problem-solving skills.
Delves into spatial memory usage in RL agents for maze navigation tasks, showing improved performance with visual landmarks but inconsistent results in path choosing.
Explores memory aid for the human brain, focusing on opportunities to study human memory, single cell recordings, and the representation of space, time, and objects.
Delves into a biologically inspired version of Reinforcement Learning, focusing on maze navigation and the implementation of spiking neurons.
Covers spatial elements, observation units, and thematic dimensions in geographic information systems.
Delves into head direction cells, encoding animal heading and persisting in the dark.
Delves into the principles and major issues of mapping, emphasizing the communication efficiency and creativity involved in cartographic work.
Explores memory, learning, cognitive load, and problem-solving strategies to enhance learning and cognitive performance.
Covers the principles and practice of georeferencing images using various formats and software tools like QGIS.
Explores gradient echo contrast (T2*) in biomedical imaging, covering T2* weighting, contrast mechanisms in MRI, venography, BOLD fMRI, and spatial encoding techniques.
Explores engagement, working memory, and effective learning methods like concept maps and peer debating.
