Can Lateral Inhibition for Sparse Coding Help Explain V1 Neuronal Responses To Natural Stimuli? - Michael A. Teti; Emily Meyer; Garrett T. Kenyon (SSIAI, 2020)

LCANets: Lateral Competition Improves Robustness Against Corruption and Attack. - Michael A. Teti; Garrett T. Kenyon; Ben Migliori; Juston Moore (ICML, 2022)

Apples-to-spikes: The first detailed comparison of LASSO solutions generated by a spiking neuromorphic processor. - Kyle Henke; Michael A. Teti; Garrett T. Kenyon; Ben Migliori; Gerd J. Kunde (ICONS, 2022)

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures. - Sayanton V. Dibbo; Adam Breuer; Juston Moore; Michael A. Teti (ECCV (80), 2024)

LCANets++: Robust Audio Classification Using Multi-Layer Neural Networks with Lateral Competition. - Sayanton V. Dibbo; Juston S. Moore; Garrett T. Kenyon; Michael A. Teti (ICASSP Workshops, 2024)

Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust. - Siddharth Mansingh; Michal Kucer; Garrett T. Kenyon; Juston Moore; Michael A. Teti (ICMLA, 2024)

How Robust Are Energy-Based Models Trained With Equilibrium Propagation? - Siddharth Mansingh; Michal Kucer; Garrett T. Kenyon; Juston Moore; Michael A. Teti (CoRR, 2024)