Cortical microcircuits as gated-recurrent neural networks. - Rui Ponte Costa; Yannis M. Assael; Brendan Shillingford; Nando de Freitas; Tim P. Vogels (NIPS, 2017)

Think: Theory for Africa. - Christopher Brian Currin; Phumlani N. Khoza; Alexander D. Antrobus; Peter E. Latham; Tim P. Vogels; Joseph Valentino Raimondo (PLoS Comput. Biol., 2019)

A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. - Basile Confavreux; Friedemann Zenke; Everton J. Agnes; Timothy P. Lillicrap; Tim P. Vogels (NeurIPS, 2020)

Online Learning Of Neural Computations From Sparse Temporal Feedback. - Mikio Ludwig Braun; Tim P. Vogels (NeurIPS, 2021)

The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks. - Friedemann Zenke; Tim P. Vogels (Neural Comput., 2021)

Predictive Learning Enables Neural Networks to Learn Complex Working Memory Tasks. - Thijs Lambik Van der Plas; Sanjay G. Manohar; Tim P. Vogels (CoLLAs, 2022)

Regimes and mechanisms of transient amplification in abstract and biological neural networks. - Georgia Christodoulou; Tim P. Vogels; Everton J. Agnes (PLoS Comput. Biol., 2022)

Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference. - Basile Confavreux; Poornima Ramesh; Pedro J. Gonçalves; Jakob H. Macke; Tim P. Vogels (NeurIPS, 2023)