Unconscious Biases in Neural Populations Coding Multiple Stimuli. - Sander W. Keemink; Dharmesh Tailor; Mark C. W. van Rossum (Neural Comput., 2018)

Understanding spiking networks through convex optimization. - Allan Mancoo; Sander W. Keemink; Christian K. Machens (NeurIPS, 2020)

Nonlinear computations in spiking neural networks through multiplicative synapses. - Michele Nardin; James W. Phillips; William F. Podlaski; Sander W. Keemink (CoRR, 2020)

Fitting Stochastic Lattice Models Using Approximate Gradients. - an Schering; Sander W. Keemink; Johannes Textor (ECMS, 2024)

Gradient-Free Training of Recurrent Neural Networks using Random Perturbations. - Jesús García Fernández; Sander W. Keemink; Marcel van Gerven (CoRR, 2024)

Discovering Dynamic Symbolic Policies with Genetic Programming. - Sigur de Vries; Sander W. Keemink; Marcel van Gerven (CoRR, 2024)

Closed-Form Control With Spike Coding Networks. - Filip S. Slijkhuis; Sander W. Keemink; Pablo Lanillos (IEEE Trans. Cogn. Dev. Syst., 2024)

Biases in neural population codes with a few active neurons. - Sander W. Keemink; Mark C. W. van Rossum (PLoS Comput. Biol., 2025)

Kozax: Flexible and Scalable Genetic Programming in JAX. - Sigur de Vries; Sander W. Keemink; Marcel A. J. van Gerven (CoRR, 2025)

Spiking neurons as predictive controllers of linear systems. - Paolo Agliati; André Urbano; Pablo Lanillos; Nasir Ahmad; Marcel van Gerven; Sander W. Keemink (CoRR, 2025)