Visual perception and processing mechanisms

The paper investigates how visual semantic tuning in the human brain shifts between two naturalistic tasks, movie watching and navigation, showing task-dependent changes in object category representation.

This study shows that generating microsaccadic eye movements can enhance peripheral visual sensitivity independently of attentional demands.

This study shows that event-based spatio-temporal coding improves recognition of tiny images compared to frame-based spatial coding, and enables Vernier hyperacuity in artificial neural networks.

The paper demonstrates robust visuomotor mismatch responses in human occipital cortex using a virtual reality and wireless EEG setup, showing reversed polarity and higher signal power compared to visual and oddball mismatch responses.

This study investigates whether illusory shape perception and object recognition share neural processes, finding no interaction and distinct neural time courses.

This study uses fMRI to compare theories about how action affects sensory processing in early visual cortex, finding support for opposing processes theory but also unexpected results.

This study uses targeted neuromodulation to show that sensory and metacognitive performance in motion perception are dissociable, with V5/MT+ affecting discrimination and IPS/LIP affecting confidence.

The paper uses a self-supervised neural network to show that visual streams in the brain may arise from a single computational principle rather than separate behavioral specializations.

This study uses EEG and behavioural models to show that perceptual features dominate early object processing, while conceptual features emerge later, with contextual associations overlapping with conceptual models.

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 identifies a bivalent retinotopic code in the human hippocampus using high-resolution fMRI, showing both positive and negative amplitude responses to visual stimuli.

This study characterizes human color discrimination thresholds using a novel psychophysical model and adaptive trial placement, achieving comprehensive results with fewer trials.

This study investigates the neural correlates of parallel and serial visual search modes using EEG, showing distinct neural patterns and attentional dynamics under identical visual conditions.

The paper compares representational geometry in macaque V1 and V2 for naturalistic textures, finding that V2 has lower-dimensional and more discriminable representations.

This study finds scene-selective cortical regions in human infants as young as 2-5 months old, before independent navigation experience, suggesting early development driven by visual exposure.

This study replicates retinal stabilization experiments using continuous displays, finding reduced sensitivity to high spatial frequencies, suggesting stimulus flicker is not the cause of perceptual impairments.

The paper shows that sensory adaptation and arousal-related changes contribute to flexible evidence accumulation during perceptual decisions, with adaptation affecting evidence encoding and arousal influencing the accumulation process.

The paper investigates how training curriculum affects generalization in visual learning using human experiments and neural networks, finding that easy-to-hard sequences improve performance through low-dimensional neural representations.

The paper investigates whether perceiving surface reflectance requires attention, finding that it involves a serial attention-based process unlike the parallel processing for tristimulus values.

The paper investigates how motion history affects perceived position using the flash-jump illusion, finding hemifield-specific adaptation and limited interhemispheric integration.

The paper investigates how transcranial magnetic stimulation (TMS) of the cerebellum affects trajectory prediction errors and their neural correlates using an illusion-based paradigm.

This study shows that serial dependence effects predict perceptual learning generalization by linking long-range memory traces to learning flexibility.

The paper tests how object-related dimensions like animacy, graspability, and texture organize object representations in ventral temporal cortex using fMRI and multivariate analysis.

This study shows retinal population codes adjust their predictive timescale to input temporal structure using the information bottleneck framework.

The paper shows limb-selective regions in the lateral temporal lobe shrink from childhood to adulthood, unlike body-selective regions.

This paper develops a method combining fMRI and MEG to non-invasively map the temporal hierarchy of visual processing in the human brain with millisecond precision.

This study investigates serial-order effects in visuospatial working memory using eye tracking and modeling, finding that location-serial-position misbinding, not variable precision, explains primacy and recency effects.

The paper examines mesoscale developmental rivalry in human extrastriate visual cortex by comparing fMRI data from individuals with and without amblyopia, finding that compromised modules are usurped by intact ones.

The paper models plasticity in macaque inferior temporal cortex after object training using ANN simulations, showing gradient descent approximates observed neural changes.

The paper shows that superior colliculus (SC) neuron responses predict saccadic reaction time better than primary visual cortex (V1) responses, especially when multiple neurons are considered.