Visual Intelligence: Machines and Minds

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Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.

Explores using deep learning models to understand the visual cortex and sensory portraits.

Explores the history and challenges of visual prostheses, focusing on intracortical microstimulation for artificial vision.

Explores the visual circuit and its functional pathways for processing visual information.

Introduces the primary visual cortex and explores visual perception and behavior through cells and circuits.

Explores the visual processing in zebrafish, focusing on retinal ganglion cells and their role in behavior.

Explores columnar processing in the cortex, decision-making tasks, and the transition from spatial information to action.

Explores computational neuroscience aspects of perception using field models and spatial continuum models.

Explores perceptrons in neural networks and their analogy with the visual system.