John­–Dylan Haynes

This study shows that working memory representations in early visual cortex during memory delay periods are not encoded in the same sensory format as during perception of naturalistic images.

The paper investigates the timing of sensory information readout in visual perception and iconic memory, finding that cue presentation before stimulus offset is necessary to access full sensory information.

The paper investigates neural correlates of different randomization tasks and finds shared and distinct brain activation patterns across task instructions.

This study examines layer-specific responses in the dlPFC during a working memory task using fMRI, finding differential activation patterns in superficial and deep layers across task phases.

The paper analyzes fMRI data to show that visual working memory and sensory distractors are encoded in distinct but overlapping coding spaces, with dynamic changes over time.

This study shows that prediction performance for brain-imaging-based phenotypes can improve significantly with larger sample sizes and multimodal data.

This study investigates how continuous perceptual choices are encoded in human early visual cortex using motion stimuli and encoding models.

This study investigates how dopamine and deep brain stimulation (DBS) affect neural dynamics in Parkinson's disease by measuring motor intention latency and oscillatory communication patterns.

The paper shows that categorical coding of color stimuli occurs in extrastriate visual cortex during working memory, not perception.

The paper investigates whether working memory signals in early visual cortex depend on visual imagery, finding that reconstruction quality is similar for strong and weak imagers.

This study finds that lifelong musical activity is linked to better cognitive abilities and preserved brain structure in older adults, suggesting it may enhance cognitive resilience.

The paper tests decoding behavior from brain signals by first reconstructing experimental conditions, finding this indirect approach works well despite being outperformed by direct decoding.

The paper clarifies confusions about the evidence and interpretation of stochastic fluctuations in spontaneous movements, focusing on the stochastic decision model and its implications for brain processes.

This study tests whether people can suppress their readiness potential (RP) through neurofeedback, finding no evidence of conscious control over RP magnitude during voluntary movements.

This paper introduces ITEM, a method to improve decoding accuracy in fMRI by addressing serial correlations in trial-wise estimates.

This study investigates how prospective and retrospective factors influence awareness of motor intention during voluntary action using real-time EEG and brain-computer interface cues.

This study investigates whether neural representations of intentions are context- and reason-invariant, finding that they are context-dependent but not reason-dependent.

This paper introduces a scale-specific analysis method for fMRI data on the cortical surface, showing improved detection of visual object information and scale-related encoding patterns in the ventral visual pathway.

The paper uses fMRI and MVPA to test if task representations in frontal and parietal cortex are modulated by task switching, finding no difference in decoding accuracy between switch and repeat trials.

This paper introduces cross-validated Bayesian model averaging (cvBMA) to improve parameter estimates in GLM-based fMRI analysis by combining information from all models using posterior probabilities.