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Journal Articles
- 2024
[j2]Filip S. Slijkhuis
, Sander W. Keemink, Pablo Lanillos:
Closed-Form Control With Spike Coding Networks. IEEE Trans. Cogn. Dev. Syst. 16(5): 1677-1687 (2024)- 2018
- [j1]Sander W. Keemink, Dharmesh Tailor, Mark C. W. van Rossum:
Unconscious Biases in Neural Populations Coding Multiple Stimuli. Neural Comput. 30(12) (2018)
Conference and Workshop Papers
- 2024
- [c2]an Schering, Sander W. Keemink, Johannes Textor:
Fitting Stochastic Lattice Models Using Approximate Gradients. ECMS 2024: 366-373 - 2020
- [c1]Allan Mancoo, Sander W. Keemink, Christian K. Machens:
Understanding spiking networks through convex optimization. NeurIPS 2020
Informal and Other Publications
- 2024
- [i4]Jesús García Fernández, Sander W. Keemink, Marcel van Gerven:
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations. CoRR abs/2405.08967 (2024) - [i3]Sigur de Vries, Sander W. Keemink, Marcel van Gerven:
Discovering Dynamic Symbolic Policies with Genetic Programming. CoRR abs/2406.02765 (2024) - 2022
- [i2]Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos:
Closed-form control with spike coding networks. CoRR abs/2212.12887 (2022) - 2020
- [i1]Michele Nardin, James W. Phillips, William F. Podlaski, Sander W. Keemink:
Nonlinear computations in spiking neural networks through multiplicative synapses. CoRR abs/2009.03857 (2020)
Coauthor Index
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