Principles of Self-Organization

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Neural Networks: Training and Activation

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Cortical Connectivity: Neuronal Dynamics

Explores neuronal dynamics in computational neuroscience, emphasizing population activity, cortical connectivity, and connectivity schemes in models.

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Neural Networks: Multilayer Perceptrons

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Multi-layer Neural Networks

Covers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.

Neural Networks: Training and Optimization

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Kernel Methods: Neural Networks

Covers the fundamentals of neural networks, focusing on RBF kernels and SVM.

The Hidden Convex Optimization Landscape of Deep Neural Networks

Explores the hidden convex optimization landscape of deep neural networks, showcasing the transition from non-convex to convex models.