Attention Inspired Network: Steep learning curve in an invariant pattern recognition model. - Luis Sa-Couto; Andreas Wichert (Neural Networks, 2019)

Storing Object-Dependent Sparse Codes in a Willshaw Associative Network. - Luis Sa-Couto; Andreas Wichert (Neural Comput., 2020)

Machine Learning - A Journey to Deep Learning - with Exercises and Answers - Andreas Wichert; Luis Sa-Couto (Machine Learning - A Journey to Deep Learning, 2021)

Simple Convolutional-Based Models: Are They Learning the Task or the Data? - Luis Sa-Couto; Andreas Wichert (Neural Comput., 2021)

Multiple-Modality Associative Memory: a framework for Learning. - Rodrigo Simas; Luis Sa-Couto; Andreas Wichert (CoRR, 2022)

Multi-level Data Representation For Training Deep Helmholtz Machines. - Jose Miguel Ramos; Luis Sa-Couto; Andreas Wichert (CoRR, 2022)

Understanding the double descent curve in Machine Learning. - Luis Sa-Couto; Jose Miguel Ramos; Miguel Almeida; Andreas Wichert (CoRR, 2022)

The smooth output assumption, and why deep networks are better than wide ones. - Luis Sa-Couto; Jose Miguel Ramos; Andreas Wichert (CoRR, 2022)

Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. - Luis Sa-Couto; Andreas Wichert (Neurocomputing, 2022)

"What-Where" sparse distributed invariant representations of visual patterns. - Luis Sa-Couto; Andreas Wichert (Neural Comput. Appl., 2022)

Self-organizing maps on "what-where" codes towards fully unsupervised classification. - Luis Sa-Couto; Andreas Wichert (Biol. Cybern., 2023)

Classification and generation of real-world data with an associative memory model. - Rodrigo Simas; Luis Sa-Couto; Andreas Wichert (Neurocomputing, 2023)

Competitive learning to generate sparse representations for associative memory. - Luís Sa-Couto; Andreas Wichert (Neural Networks, 2023)

Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data? - Maria Osório; Luis Sa-Couto; Andreas Wichert (Biol. Cybern., 2024)

Multilevel Data Representation for Training Deep Helmholtz Machines. - Jose Miguel Ramos; Luis Sa-Couto; Andreas Wichert (Neural Comput., 2025)