Suggested further readings# Tutorial 1: Sparsity and Sparse Coding# Effects of monocular deprivation in kittens Emergence of simple-cell receptive field properties by learning a sparse code for natural images Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition Tutorial 2: Normalization# Layer Normalization Probabilistic Models of the Brain: Perception and Neural Function. Natural Image Statistics and Divisive Normalization Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Flexible gating of contextual influences in natural vision Normalization as a canonical neural computation Attention-related changes in correlated neuronal activity arise from normalization mechanisms Tutorial 3: Attention# Attention and the detection of signals Parallel Distributed Processing Attention is all you need Inductive biases and variable creation in self-attention mechanisms Transformer as a Graph Neural Network Attention? Attention!
