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Time to reality check the promises of machine learning-powered precision medicine

The Lancet. Digital health, 2020-12, Vol.2 (12), p.e677-e680

2020

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

PloS one, 2021-05, Vol.16 (5), p.e0243674

2021

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A numerical population density technique for N-dimensional neuron models

Frontiers in neuroinformatics, 2022-07, Vol.16, p.883796-883796

2022

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

International journal of epidemiology, 2021-01, Vol.49 (6), p.2074-2082

2021

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Computational geometry for modeling neural populations: From visualization to simulation

PLoS computational biology, 2019-03, Vol.15 (3), p.e1006729-e1006729

2019

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Attention-guided sampling for colorectal cancer analysis with digital pathology

Journal of pathology informatics, 2022, Vol.13, p.100110, Article 100110

2022

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MIIND : A Model-Agnostic Simulator of Neural Populations

Frontiers in neuroinformatics, 2021-07, Vol.15, p.614881-614881

2021

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Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform

Frontiers in neurorobotics, 2022-07, Vol.16, p.856797-856797

2022

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Heterogeneous beliefs in over-the-counter markets

Journal of economic dynamics & control, 2014-04, Vol.41, p.50-68

2014

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Multidimensional Dynamical Systems with Noise: Population Density Techniques for Neuroscience

Advances in experimental medicine and biology, 2022, Vol.1359, p.159-178

2022

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A dynamical neural simulation mapping feature-based attention to location with non-linear cortical circuits

BMC neuroscience, 2011-07, Vol.12 (S1), p.P55-P55, Article P55

2011

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Fairness in AI for healthcare

Future healthcare journal, 2024-09, Vol.11 (3), p.100177, Article 100177

2024

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From Knowing What to Knowing Where: Modeling Object-Based Attention with Feedback Disinhibition of Activation

Journal of cognitive neuroscience, 2001-05, Vol.13 (4), p.479-491

2001

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The effect of limb position on a static knee extension task can be explained with a simple spinal cord circuit model

Journal of neurophysiology, 2022-01, Vol.127 (1), p.173-187

2022

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The Scientific Case for Brain Simulations

Neuron (Cambridge, Mass.), 2019-05, Vol.102 (4), p.735-744

2019

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The MIIND framework: combining population density methods, neural simulations and Wilson-Cowan dynamics into large-scale heterogeneous neural models of cognition

BMC neuroscience, 2009-07, Vol.10 (S1), p.P276-P276, Article P276

2009

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Modeling large populations of spiking neurons with a universal population density solver

BMC neuroscience, 2013-07, Vol.14 (S1), p.P90-P90, Article P90

de Kamps, Marc

2013

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Neural blackboard architectures of combinatorial structures in cognition

The Behavioral and brain sciences, 2006-02, Vol.29 (1), p.37-70

2006

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The necessity of connection structures in neural models of variable binding

Cognitive neurodynamics, 2015-08, Vol.9 (4), p.359-370

2015

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

Journal of neural engineering, 2006-03, Vol.3 (1), p.R1-R12

2006

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Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools

Cancers, 2022-10, Vol.14 (20), p.5023

2022

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pMIIND-an MPI-based population density simulation framework

BMC neuroscience, 2013-07, Vol.14 (S1), p.P362-P362, Article P362

2013

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Population density equations for stochastic processes with memory kernels

Physical review. E, 2017-06, Vol.95 (6-1), p.062125-062125, Article 062125

2017

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Towards truly human-level intelligence in artificial applications

Cognitive systems research, 2012-04, Vol.14 (1), p.1-9

de Kamps, Marc

2012

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A New State of MIIND

Frontiers in neuroinformatics, 2011, Vol.5

Marc, De Kamps

2011

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Time to reality check the promises of machine learning-powered precision medicine

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

A numerical population density technique for N-dimensional neuron models

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

Computational geometry for modeling neural populations: From visualization to simulation

Attention-guided sampling for colorectal cancer analysis with digital pathology

MIIND : A Model-Agnostic Simulator of Neural Populations

Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform

Heterogeneous beliefs in over-the-counter markets

Multidimensional Dynamical Systems with Noise: Population Density Techniques for Neuroscience

A dynamical neural simulation mapping feature-based attention to location with non-linear cortical circuits

Fairness in AI for healthcare

From Knowing What to Knowing Where: Modeling Object-Based Attention with Feedback Disinhibition of Activation

The effect of limb position on a static knee extension task can be explained with a simple spinal cord circuit model

The Scientific Case for Brain Simulations

The MIIND framework: combining population density methods, neural simulations and Wilson-Cowan dynamics into large-scale heterogeneous neural models of cognition

Modeling large populations of spiking neurons with a universal population density solver

Neural blackboard architectures of combinatorial structures in cognition

The necessity of connection structures in neural models of variable binding

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

Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools

pMIIND-an MPI-based population density simulation framework

Population density equations for stochastic processes with memory kernels

Towards truly human-level intelligence in artificial applications

A New State of MIIND

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