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12 results for  Tom Heskes.
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Tom Heskes

Tom Heskes ... Adult, Alpha Rhythm, Antineoplastic Agents, Attention, Automatic Data Processing, Brain, Brain Mapping, Carcinoid Heart Disease, Compulsive Behavior, Computational Biology, Computer ...

On the uniqueness of loopy belief propagation fixed points.

We derive sufficient conditions for the uniqueness of loopy belief propagation fixed points. These conditions depend on both the structure of the graph and the strength of the potentials ... Tom Heskes ...

Task-Dependent Learning of Attention.

In this article, we propose a neural network model for selective covert visual attention. This model can learn to focus its attention on important features ... Stan Gielen, Tom Heskes, Pierre van de Laar ...

Gaussian mixture models and semantic gating improve reconstructions from human brain activity

Better acquisition protocols and analysis techniques are making it possible to use fMRI to obtain highly detailed visualizations of brain ... Sanne Schoenmakers, Umut Güçlü, Marcel Van Gerven, Tom Heskes ...

Quantifying Uncertainty in Brain Network Measures using Bayesian Connectomics

The wiring diagram of the human brain can be described in terms of graph measures that characterize structural regularities ... Ronald Johannes Janssen, Max Hinne, Tom Heskes, Marcel A.J. Van Gerven ...

Clustering ensembles of neural network models.

We show that large ensembles of (neural network) models, obtained e.g. in bootstrapping or sampling from (Bayesian) probability distributions, can be effectively summarized by ... Bart Bakker, Tom Heskes ...

Improving Cox survival analysis with a neural-Bayesian approach.

In this article we show that traditional Cox survival analysis can be improved upon when supplemented with sensible priors and analysed within a neural ... Bart Bakker, Tom Heskes, Jan Neijt, Bert Kappen ...

Identification of presynaptic gene clusters in synaptic signaling using functional data from genetic perturbation studies in Hippocampal autapses.

Synaptic gene function is typically studied by measuring the effect of a (genetic) perturbation of a ... L Cornelisse, Evgeni Tsivtsivadze, Marieke Meijer, Tjeerd Dijkstra, Tom Heskes, Matthijs Verhage ...

Probabilistic classification of presynaptic gene function using low-throughput generated functional data from genetic perturbation studies.

Classification of gene function based on functional data from genetic perturbation studies is generally ... Lennart Niels Cornelisse, Evgeni Tsivtsivadze, Tjeerd Dijkstra, Tom Heskes, Matthijs Verhage ...

Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition

High-throughput techniques allow for massive screening of drug combinations. To find combinations that exhibit an interaction effect, one filters for ... Simone Lederer, Tjeerd M.H. Dijkstra, Tom Heskes ...

Posterior alpha activity modulated by covert attention used as a control signal for BCI

Brain-computer interfaces clearly benefit from as many control signals as possible. We have here explored the possibility ... Ali Bahramisharif, Marcel van Gerven, Yuka Okazaki, Tom Heskes, Ole Jensen ...

The Cerebellum and Brainstem Reshape with Compulsive Behaviour and Symptom Severity in Autism Spectrum Disorder and Obsessive Compulsive Disorder

Neurodevelopmental disorders such as autism spectrum disorder (ASD) and obsessive-compulsive disorder (OCD) share genetic vulnerability (Jacob et al., 2009), patterns of abnormal brain development ...

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