Niek Stevenson

• University of Amsterdam

We introduce EMC2, an R package for Bayesian hierarchical analysis of cognitive models of choice. EMC2 bridges the gap between standard regression analyses and cognitive modeling through linear-model specifications for each type of cognitive model parameter. The flexible implementation of the linear modeling language allows users to map model param...

This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful action cancellation. Functional magnetic resonance imaging (fMRI) approaches have frequently used the stop-signal task to examine this network. We merge five such datasets, using a novel aggregat...

This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful action cancellation. Functional magnetic resonance imaging (fMRI) approaches have frequently used the stop-signal task (SST) to examine this network. We merge five such datasets, using a novel ag...

Decision making and learning processes together enable adaptive goal-oriented behaviour. Animal studies demonstrated the importance of subcortical regions in these cognitive processes, but the human subcortical contributions remain poorly characterised. Here, we study choice and learning processes in the human subcortex, using a tailored ultra-high...

Studying individual differences in psychology often involves examiningcorrelations across various measures. However, research involving high-dimensional data—such as in task batteries or neuroscience—often targetslatent constructs rather than individual correlations. Furthermore, the num-ber of correlations grows quadratically with increasing dimen...

Although factor models have been pivotal in understanding the relations among variables, they are difficult to apply to data from experimental designs. In experiments, data are from trials which are nested in conditions, tasks, and individuals. Data at the trial level is quite noisy, so much so that even averages on critical contrasts are subject t...

Sequences of choice response times exhibit ubiquitous and strong multi-scale dynamics (i.e., sequential dependencies across a broad range of temporal scales). Despite their pervasive nature, multi-scale dynamics are poorly understood. We show that dynamics in the seconds to minutes range can be explained by the superposition of several distinct lea...

Evidence accumulation models (EAMs) are powerful tools for making sense of human and animal decision-making behaviour. EAMs have generated significant theoretical advances in psychology, behavioural economics, and cognitive neuroscience, and are increasingly used as a measurement tool in clinical research and other applied settings. Obtaining valid...

In this article, we present a method of model estimation—which is useful for estimating complicated models—and more importantly, allows estimation of relationships between factors within the model. Here, we focus on joint modeling applications, where researchers have used a variety of methods (generally correlational approaches) to show links betwe...

This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful action cancellation. Functional magnetic resonance imaging (fMRI) approaches have frequently used the stop-signal task (SST) to examine this network. We merge five such datasets, using a novel ag...

We introduce EMC2, an R package for the Bayesian hierarchical analysisof cognitive models of choice. EMC2 bridges the gap between standardregression analyses and cognitive modeling through linear-model specifica-tions for each type of cognitive-model parameter. The flexible implemen-tation of the linear modelling language allows users to map model...

We introduce EMC2, an R package for the Bayesian hierarchical analysisof cognitive models of choice. EMC2 bridges the gap between standardregression analyses and cognitive modeling through linear-model specifica-tions for each type of cognitive-model parameter. The flexible implemen-tation of the linear modelling language allows users to map model...

Decision-making behavior is often understood using the framework of evidence accumulation models (EAMs). Nowadays, EAMs are applied to various domains of decision-making with the underlying assumption that the latent cognitive constructs proposed by EAMs are consistent across these domains. In this study, we investigate both the extent to which the...

This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful response inhibition. We provide evidence that the canonical inhibition pathways may not be recruited during successful response inhibition during the stop signal task (SST). Instead, subcortical...

This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful response inhibition. We provide evidence that the canonical inhibition pathways may not be recruited during successful response inhibition during the stop signal task (SST). Instead, subcortical...

This study investigates the functional network underlying response inhibition in the human brain, particularly the role of the basal ganglia in successful response inhibition. We provide evidence that the canonical inhibition pathways may not be recruited during successful response inhibition during the stop signal task (SST). Instead, subcortical...

Response inhibition and interference resolution are often considered subcomponents of an overarching inhibition system that utilizes the so-called cortico-basal-ganglia loop. Up until now, most previous functional magnetic resonance imaging (fMRI) literature has compared the two using between-subject designs, pooling data in the form of a meta-anal...

Decision-making behavior is often understood using the framework of evidence accumulation models (EAMs). Nowadays, EAMs are applied to various domains of decision-making with the underlying assumption that the latent cognitive constructs proposed by EAMs are consistent across these domains. In this study we investigate both the extent to which the...

Joint modelling of behaviour and neural activation poses the potential to provide significant advances in linking brain and behaviour. However, methods of joint modelling have been limited by difficulties in estimation, often due to high dimensionality and simultaneous estimation challenges. In the current article, we propose a method of model esti...

Deep Brain Stimulation (DBS) is an effective neurosurgical treatment to alleviate motor symptoms of advanced Parkinson’s disease. Due to its potential, DBS usage is rapidly expanding to target a large number of brain regions to treat a wide range of diseases and neuropsychiatric disorders. The identification and validation of new target regions hea...

Attitudes (or opinions, preferences, biases, stereotypes) can be considered bindings of the perceptual features of the attitudes’ object to affective codes with positive or negative connotations, which effectively renders them “event files” in terms of the Theory of Event Coding. We tested a particularly interesting implication of this theoretical...

Working memory (WM)-based decision making depends on a number of cognitive control processes that control the flow of information into and out of WM and ensure that only relevant information is held active in WM’s limited-capacity store. Although necessary for successful decision making, recent work has shown that these control processes impose per...

Learning and decision making are interactive processes, yet cognitive modelling of error-driven learning and decision making have largely evolved separately. Recently, evidence accumulation models (EAMs) of decision making and reinforcement learning (RL) models of error-driven learning have been combined into joint RL-EAMs that can in principle add...