Visual Intelligence: Machines and Minds

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Explores receptive fields, visual brain areas, evolution-driven differences in visual pathways, and neural mechanisms underlying escape behavior.

Visual Perception

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

Artificial Sight: Restoring Vision with Retinal Implants

Explores bioelectronics, types of blindness, and retinal implants for restoring vision, covering challenges and advancements in artificial sight technologies.

Neuroscience and Machine Learning: Understanding Visual Intelligence

Explores the relationship between neuroscience and machine learning in visual intelligence.

Visual Intelligence and Learning: Insights and Applications

Explores visual intelligence, robotics perception, and multi-task learning techniques in computer vision.

Differential Geometry: Parametric Curves & Surfaces

Introduces the basics of differential geometry for parametric curves and surfaces, covering curvature, tangent vectors, and surface optimization.

Neuronal Dynamics: Aims and Challenges

Explores the aims and challenges in computational neuroscience, focusing on neuronal dynamics of cognition and mean-field arguments.

Improving Models of the Ventral Visual Pathway

Explores computational models of the ventral visual system, focusing on optimizing networks for real-world tasks and comparing to brain data.

Neural Networks: Hierarchical Models and Odor Taxis

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.

Visual Neuroprostheses: Challenges and Prospects

Discusses the development of visual neuroprostheses for the blind, exploring challenges and future prospects.