scispace - formally typeset
J

Justin R. Chumbley

Researcher at University of Zurich

Publications -  30
Citations -  1627

Justin R. Chumbley is an academic researcher from University of Zurich. The author has contributed to research in topics: Inference & Personality. The author has an hindex of 14, co-authored 28 publications receiving 1466 citations. Previous affiliations of Justin R. Chumbley include Imperial College London & ETH Zurich.

Papers
More filters
Journal ArticleDOI

False discovery rate revisited: FDR and topological inference using Gaussian random fields.

TL;DR: In brief, inference based on conventional voxel-wise FDR procedures is not appropriate for inferences on the topological features of a statistical parametric map (SPM), such as peaks or regions of activation.
Journal ArticleDOI

Topological FDR for neuroimaging.

TL;DR: The results suggest that FDR control of maxima or peaks is more sensitive than FWE control of peaks with minimal cost in terms of false-positives, and voxel-wise FDR is substantially less accurate than topological FWE or FDR control.
Journal ArticleDOI

Apathy But Not Diminished Expression in Schizophrenia Is Associated With Discounting of Monetary Rewards by Physical Effort

TL;DR: This study provides the first evidence for a highly specific association of apathy with effort-based decision making in patients with schizophrenia and suggests that the present effort discounting task could provide a bridge between apathy as a psychopathological phenomenon and established behavioral tasks to address similar states in animals.
Journal ArticleDOI

Inhibition of the human two-pore domain potassium channel, TREK-1, by fluoxetine and its metabolite norfluoxetine.

TL;DR: Block of TREK‐1 by fluoxetine may have important consequences when the drug is used clinically in the treatment of depression, and norfluoxettine was a more potent inhibitor of TREk‐1 currents.
Journal ArticleDOI

Affect and the Computer Game Player: The Effect of Gender, Personality, and Game Reinforcement Structure on Affective Responses to Computer Game-Play

TL;DR: It is demonstrated that in-game reinforcement characteristics and skill significantly effect a number of affective measures (most notably excitement and frustration) in the emotional state of the game-player.