Cultural differences: perception in Switzerland

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Explores visual perception, covering topics like color perception, motion, depth, and optical illusions.

Explores Generalized Linear Models, Bayesian methods, compressed sensing, and perception in high-dimensional statistics.

Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.

Covers the integration of visual perception and robotic actions in embodied AI.

Explores theories of narrative, models of intelligibility, and the impact of storytelling on societal values and individual behaviors.

Explores spatial continuum models, field equations, and coupling mechanisms in computational neuroscience.

Covers depth perception, focusing on monocular and binocular cues, including motion parallax and stereoscopic vision.

Explores the components of neuro robots and compares them to actual animals.

Explores visual intelligence, perception, image classification, and the connection between vision and action in complex systems.

Explores anatomic conventions, homunculus mapping, and body scheme integration in perception and action.