John T. Serences

This study investigates whether memory errors in visual working memory reflect interactions between sensory and mnemonic representations, finding that feature-specific sensory interference influences recall accuracy.

The paper compares a 2D Gabor-wavelet model with a 3D surface model in scene-responsive brain areas and finds the 2D model better fits voxel responses.

This study uses fMRI to show that working memory load signals are distributed across the cortex and change over time, not localized to parietal cortex.

The paper shows that visual cortex representations change based on decision boundaries, improving categorization performance in a context-dependent manner.

This study distinguishes between response-driven and stimulus-driven history biases in perception using simulations and analysis of a delayed report dataset, finding evidence for response-driven bias.

The paper shows that neural adaptation in visual cortex creates repulsive biases, while behavioral serial dependence arises from readout mechanisms that account for adaptation.

The paper investigates how working memory reconfigures neural representations based on behavioral goals, showing reduced spatial coding in visual areas and increased motor coding when responses are known.

The paper shows that biased orientation representations in a CNN trained on non-uniformly distributed orientations align with efficient coding principles.

This paper investigates how stimulus history affects visual search by measuring fMRI responses to repeated distractors, finding suppression in early visual areas consistent with stimulus-driven mechanisms.

This study compares the neural representations of working memory and long-term memory in occipital and parietal cortex using fMRI and multivariate pattern analysis, finding shared and distinct coding formats.

This study reports null results for attention-related modulation of SSVEP responses to color cues and reviews methodological considerations for SSVEP studies of feature-based attention.

The paper investigates how category learning influences perceptual processing in human occipitoparietal cortex using inverted encoding models and behavioral experiments.

This study shows that focusing attention on sensory inputs during memory tasks reduces memory fidelity in early visual cortex, while ignoring distractors improves memory but reduces sensory representation fidelity.

The paper shows that high-reward distractors enhance their neural representations in early visual cortex when previously selected as targets, suggesting value-driven attentional capture starts with sensory modulation.

This study shows that human visual cortex can represent both working memory contents and new sensory inputs simultaneously at the population level.

This study uses alpha-band oscillations and an inverted encoding model to track and reconstruct precise spatial memory retrieval from long-term memory.

The paper discusses the validity of inverted encoding models (IEM) in neural data analysis, arguing that results are not arbitrary when models are clearly specified.

This study shows that the human frontoparietal cortex encodes invariant target representations during object recognition tasks, linking these signals to task performance.

The paper investigates how speed pressure affects decision-making by analyzing sensory evidence accumulation, finding that responses are triggered near the peak of evidence accumulation rather than after reaching a threshold.

This study compares fMRI and EEG measures of attentional modulations in human visual cortex and finds they reflect different physiological mechanisms.

The paper investigates how visual salience and behavioral relevance independently influence attentional priority maps in human cortex using fMRI data.

The paper demonstrates a transition from feature-coding to conjunction-coding in human visual cortex using multivariate analysis of functional imaging data.

This study investigates how cognitive conflict is resolved during decision-making, finding that executive control mechanisms, not early sensory modulation, dominate in resolving conflict.

The paper shows that training reduces attentional gain amplification and increases noise reduction in visual cortex during attentional selection.

The paper investigates how attentional modulations of single receptive fields affect population-level spatial representations in visual cortex, finding that position shifts of receptive fields enhance discriminability and fidelity.

The paper shows that attention affects contrast appearance and response bias differently based on stimulus visibility in a contrast judgment task.