Marc de Kamps

Latent class regression improves the predictive acuity and clinical utility of survival prognostication amongst chronic heart failure patients

Mark S Gilthorpe, John L Mbotwa, Marc de Kamps, 2020, bioRxiv.

Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

Vinny Davies, Kellyn F Arnold, Mark S Gilthorpe, 2020, International journal of epidemiology.

Computational Geometry for Modeling Neural Populations: from Visualization to Simulation

Mikkel Lepperød, Marc de Kamps, Yi Ming Lai, 2018 .

pMIIND-an MPI-based population density simulation framework

David Sichau, Marc de Kamps, M. de Kamps, 2013, BMC Neuroscience.

Population density equations for stochastic processes with memory kernels.

Marc de Kamps, Yi Ming Lai, M. de Kamps, 2016, Physical review. E.

The necessity of connection structures in neural models of variable binding

Marc de Kamps, Frank van der Velde, F. van der Velde, 2015, Cognitive neurodynamics.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Neural blackboard architectures: the realization of compositionality and systematicity in neural networks

Marc de Kamps, Frank van der Velde, F. van der Velde, 2006, Journal of neural engineering.