Gunnar Blohm

The paper studies how catch-up saccades adapt in individuals with simulated central vision loss over five days of visual tracking.

The paper introduces a gated accumulator model to explain how predictions of sensory timing influence choice anticipation and evidence accumulation during free choice saccade tasks.

The paper analyzes luminance-evoked pupil dynamics in young adults, identifying nonlinear relationships and a conserved 'main sequence' between peak diameter change and velocity.

This study uses MEG to identify posture coding and intrinsic movement plans in parietofrontal cortex during wrist pointing tasks, revealing distinct but overlapping networks for intrinsic and extrinsic motor codes.

This paper introduces a feed-forward neural network model for multisensory integration across reference frames, showing it can approximate Bayesian inference without explicit divisive normalization.

This study investigates variability in tDCS effects on free choice behavior across individuals and sessions, finding heterogeneous effects and suggesting caution in assuming consistent tDCS outcomes.

The paper shows that models of visual working memory developed for single-report tasks fail to generalize to whole-report tasks due to assumptions about stimulus independence and encoding.

The paper demonstrates that increased spinal reflex responses to loads reduce motor cortex activity, using a neural network model to show how lower-level feedback influences goal-directed motor corrections.

This study investigates how retinal acceleration error influences catch-up saccade timing and amplitude during tracking of accelerating targets.

This study uses HD-tDCS to show that mIPS and PMd differentially contribute to reach planning, with PMd integrating movement vectors earlier than mIPS.

The paper investigates how hand-specific signals interact with top-down motor plans using MEG, showing hand-specific cortical regions and their interactions with instructed movement plans.

The paper introduces a predictive probabilistic model explaining saccade decisions during pursuit by estimating position error confidence through Bayesian inference and Kalman filtering.

This study uses HD-tDCS and mediation analysis to show that mIPS modulation affects online reach correction, providing causal evidence for its role in movement error correction.

This study shows that increased uncertainty in coordinate transformations during head roll leads to compensatory changes in obstacle avoidance behavior during reaching tasks.

The paper investigates depth motion perception errors by testing how participants interpret retinal motion with varying gaze angles, finding systematic underestimation of version and overestimation of vergence.

This paper develops a fronto-parietal cortical model to explain working memory overload by showing high-performing subjects avoid overload through competitive encoding and inter-areal projections.

The paper uses MEG to study real-time sensorimotor transformations during wrist pointing, finding a progressive shift from sensory to motor coding across brain regions.

The paper demonstrates that smooth pursuit eye velocity and catch-up saccade amplitude are modulated by the reliability of visual and prior information in a smooth pursuit task.

The paper shows that neck muscle spindle noise affects reach accuracy in a multi-sensory integration task, with specific biases under different head orientations and neck loads.

The paper uses a cortical network model to show that VIP-mediated disinhibition controls flexible behavior by modulating working memory and decision-making.

The paper investigates how stochastic sensorimotor reference frame transformations affect perceptual decisions by measuring reaction time and accuracy during head and stimulus rotations.

The paper investigates how orientation perception remains stable during saccades by showing that retinal signals are remapped to maintain a stable percept despite retinal motion.