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Lecture
The visual system
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Related lectures (31)
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Neuroscience and Machine Learning: Understanding Visual Intelligence
Explores the relationship between neuroscience and machine learning in visual intelligence.
Neural Networks: Regression and Classification
Explores neural networks for regression and classification tasks, covering training, regularization, and practical examples.
Neural Networks: Basics and Applications
Explores neural networks basics, XOR problem, classification, and practical applications like weather data prediction.
Restoring Conscious Visual Perception: Bypassing Eye Limitations
Covers methods to restore conscious visual perception by projecting images directly onto the visual brain, bypassing the eyes, particularly for blind patients.
Feedback & Adaptation: Visual Intelligence
Covers feedback mechanisms in visual intelligence, human pose estimation, motor adaptation in legged robots, and PID controllers.
Sensory learning with neural networks
Explores sensory representations, perception, memory, cognitive control, and neural networks.
Understanding Visual Cortex with Deep Learning Models
Explores using deep learning models to understand the visual cortex and sensory portraits.
Visual Neuroprostheses: Challenges and Prospects
Discusses the development of visual neuroprostheses for the blind, exploring challenges and future prospects.
Visual Systems & Circuits
Explores the evolution of vision systems, retinal ganglion cells, LGN organization, and visual cortex processing.
Perception: Field Models
Explores computational neuroscience aspects of perception using field models and spatial continuum models.
