Recent advancements in Bayesian modeling have allowed for likelihood-free posterior
estimation. Such estimation techniques are crucial to the understanding of simulation-based …

… , we used the same implementation of TCM as that in Sederberg et al. (2008). Called TCM-A,
… -level overview of the model (for additional details, please refer to Sederberg et al., 2008). …

Millions of people worldwide suffer from diseases that lead to paralysis through disruption of
signal pathways between the brain and the muscles. Neuroprosthetic devices are designed …

Electrophysiological and hemodynamic measures of human brain activity have been shown
to distinguish between episodes of encoding items that are later recalled versus those that …

Functional magnetic resonance imaging (fMRI) of the human brain has shown that the
hippocampus and the left temporal and frontal cortices play a key role in the formation of new …

Decoding patterns of neural activity onto cognitive states is one of the central goals of
functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive …

A growing synergy between the fields of cognitive neuroscience and mathematical psychology
has sparked the development of several unique statistical approaches exploiting the …

The authors present a new model of free recall on the basis of MW Howard and MJ Kahana's
(see record 2002-17325-002) temporal context model and M. Usher and JL McClelland's (…

Bayesian estimation has played a pivotal role in the understanding of individual differences.
However, for many models in psychology, Bayesian estimation of model parameters can be …

Scientists who study cognition infer underlying processes either by observing behavior (eg,
response times, percentage correct) or by observing neural activity (eg, the BOLD response). …