The visual system

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Related lectures (31)

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Neural Networks: Hierarchical Models and Odor Taxis

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

Vision: systems & circuits

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

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Vision Research to Clinical Therapy

Explores vision research, optic nerve regeneration, and bio-realistic models in the mouse visual cortex, focusing on optic nerve stimulation and visual learning.

Neural Networks: Multilayer Perceptrons

Covers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.

Computer Vision History Recap

Offers a historical overview of computer vision, exploring key developments and influential figures in the field.

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.

Functional Brain Circuits

Explores brain circuits for sensory perception and external representation, covering thalamus communication, energy-saving mechanisms, inhibitory control, and time perception.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Neural Networks: Logic and Applications

Explores the logic of neuronal function, the Perceptron model, deep learning applications, and levels of abstraction in neural models.