6 citations · 7 across the 4 of their papers we have counts for
4 papers
Structured Secant Methods to Select Smoothing Parameters for General Smooth Models
Joshua Krause, Jelmer P. Borst, Jacolien van Rij
General smooth models replace parameters of a regular likelihood with additive models. The models can include parametric terms, Gaussian random effects, and smooth functions of cov…
The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
Joshua Krause, Jelmer P. Borst, Jacolien van Rij
Additive smooth models, such as Generalized additive models (GAMs) of location, scale, and shape (GAMLSS), are a popular choice for modeling experimental data. However, software av…
A Robust Learning Rule for Soft-Bounded Memristive Synapses Competitive with Supervised Learning in Standard Spiking Neural Networks
Thomas F. Tiotto, Jelmer P. Borst, Niels A. Taatgen
Memristive devices are a class of circuit elements that shows great promise as future building block for brain-inspired computing. One influential view in theoretical neuroscience…
Learning to Approximate Functions Using Nb-doped SrTiO Memristors
Thomas F. Tiotto, Anouk S. Goossens, Jelmer P. Borst +2
Memristors have attracted interest as neuromorphic computation elements because they show promise in enabling efficient hardware implementations of artificial neurons and synapses.…