A computational model of learning to count in a multimodal, interactive environment. - Silvester Sabathiel; Jay McClelland; Trygve Solstad (CogSci, 2020)

Emerging Representations for Counting in a Neural Network Agent Interacting with a Multimodal Environment. - Silvester Sabathiel; James L. McClelland; Trygve Solstad (ALIFE, 2020)

Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations. - Silvester Sabathiel; Trygve Solstad; Alberto Testolin; Flavio Petruzzellis (NLDL, 2022)

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation. - Maximilian Baronig; Romain Ferrand; Silvester Sabathiel; Robert Legenstein (CoRR, 2024)