Martin Wiener

This study compares memorability estimates from deep neural networks and humans under noise, finding divergence and introducing GraphMem, a relational model that better aligns with human performance.

The paper investigates how motion affects perceived duration and confidence judgments, finding that neural responses differ between these two effects.

This paper investigates how image memorability and processing speed influence perceived duration and memory recall through three experiments with controlled variables.

The paper investigates the relationship between perceived time and image memorability, finding that scene size and memorability dilate time while clutter contracts it, and that processing speed in a neural network model predicts these effects.

This study shows that human beat matching involves an entrainment oscillator mechanism in the SMA, supported by EEG and tACS experiments.

This study investigates the neural mechanisms of metacognitive improvement in sensorimotor timing using fMRI, finding dissociations between time estimation and reproduction networks and increased DMN involvement during re-do trials.

This study investigates how motor tremors affect time perception by introducing artificial tremors during movement tasks and analyzing their impact on duration estimation.

The paper investigates how conscious motor timing affects auditory timing perception and finds that combined auditory and movement timing is more accurate than isolated timing.

This study investigates how the brain computes spatial and temporal distances during virtual movements using fMRI, finding distinct neural networks for each with shared magnitude processing.

This study investigates how environmental viscosity affects temporal perception by manipulating movement in a robotic arm task, finding that higher viscosity leads to shorter perceived durations.

This study investigates how delta transcranial alternating current stimulation (tACS) affects dynamic attention, finding phase and context-dependent effects on reaction times for upright and inverted visual stimuli.

This study uses a meta-analysis of neuroimaging data to identify a cortical gradient system supporting time and space processing, expanding the ATOM theory to GradiATOM.

This study investigates whether spatial and temporal dimensions are processed independently using EEG, finding that they are neurally separable but hierarchically organized within the CNV signal.

The paper investigates how negative emotional faces affect time perception and decision-making by analyzing EEG data during a temporal bisection task with emotional stimuli.

This study shows that modulating individual alpha frequency with tACS alters time perception, with faster alpha stimulation leading to longer perceived durations.

This study uses TMS-EEG to compare cortical frequency responses during resting state and active task performance, finding higher dominant frequencies during active tasks.

This study uses TMS-EEG to compare cortical frequency responses during resting state and active task performance, finding higher dominant frequencies during active tasks.

This study shows that free movement improves temporal perception and decision-making precision by shifting response thresholds and reducing movement variability.

This paper demonstrates a causal link between beta oscillations and time perception through EEG reanalysis and tACS experiments, showing beta stimulation increases perceived duration without affecting precision.

This study uses cTBS to disrupt the right posterior superior temporal sulcus and finds reduced emotion recognition from biological motion, supporting its causal role in this task.

This study investigates whether a Bayesian magnitude estimation system uses a common prior across different dimensions, finding that duration estimation is resilient to changes in other dimensions while numerosity and surface are affected by evidence accumulation rate.