Visual perception and processing mechanisms

The paper shows that locomotion enhances visual speed encoding in medial higher visual areas of mice but not direction encoding.

The paper develops a dynamic scale-mixture model to analyze motion in natural scenes, finding that velocity distributions are heavy-tailed and can be modeled with a Gaussian process multiplied by a dynamic scaling factor.

This study uses retrograde optogenetics in macaques to show that FEF outputs to the superior colliculus are diverse but predominantly motor-related, supporting a visuomotor convergence model.

The paper maps brain-wide long-distance input patterns of feedforward and feedback cortico-cortical neurons in the mouse secondary visual cortex, revealing similarities and differences in their connectivity.

GEM-pRF accelerates population receptive field mapping in fMRI by reformulating the GLM and using GPU computation, achieving faster and accurate results than existing methods.

The paper shows that monocular deprivation in humans reduces pulvinar-to-V1 connectivity, correlating with reduced ocular dominance shift, suggesting pulvinar modulates adult visual plasticity.

The paper shows that expectation leads to center-surround inhibition in orientation space, supported by computational models and neural network experiments.

This study uses high-resolution fMRI to map resting-state functional connectivity in human ocular dominance columns, revealing depth- and subfield-specific patterns linked to perceptual biases.

The paper investigates how visual surprise interacts with the visual cortex by analyzing EEG data from humans viewing changing visual attributes, finding attribute-dependent temporal hierarchies in whole-brain prediction error responses.

This study shows that PV cell activation improves visual discrimination performance in easy tasks but not difficult ones, with effects depending on activation timing and task difficulty.

The paper investigates how macaque visual cortex represents contrast and naturalistic texture, finding that V4 better decodes texture independently of contrast than V1 or V2.

This study investigates how numerosity adaptation affects early visual responses, finding that adaptation to higher numerosities reduces the monotonic increase in fMRI response amplitudes across the visual hierarchy.

This study uses EEG and decoding techniques to show that population-level neural activity dissociates preparatory overt from covert attention, revealing an additional spatially selective process in overt attention.

The paper investigates aphantasia by analyzing fMRI data, finding reduced spatial signal complexity in temporal lobes during imagery compared to perception in aphantasics.

The paper shows that brain regions and deep learning models stretch representations along task-relevant dimensions to optimize performance through error minimization.

The paper uses EEG and deep neural networks to show that high-level visual predictions, not low-level features, drive neural responses to unexpected stimuli around 200ms after stimulus onset.

This study shows that early visual deprivation in humans impairs the early visual cortex but leaves the categorical coding in the ventral occipito-temporal cortex largely unaffected.

This paper develops a hierarchical deep generative model that explains top-down influences in early visual cortex by predicting neural activity in V1 and V2.

This paper investigates the neural mechanisms of binocular rivalry using fMRI, finding that eye-specific response modulation occurs in V1 ocular dominance columns and that IPS and ventral pulvinar enhance connectivity to resolve visual competition.

The paper analyzes CNNs to uncover emergent mechanisms of covert attention, identifying new neuron types and computational principles that mirror neurophysiological findings.

This study shows internal and external selection processes can occur concurrently during visual search, challenging the idea they must take turns.

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 rhythmic sampling of target and distractor information in a motion detection task and finds that their temporal phase relationship affects task performance.

The paper models orientation selectivity in mouse superior colliculus to show it shares computational principles with primate visual cortex despite differences in expression.

The paper shows non-uniform contextual interactions in V1 neurons limit spatial vision by differentially impairing stimulus representation based on flanker location.

The paper shows broadband high-frequency activity (BHA) predicts distractor suppression and performance in visual search tasks, indicating its role in initiating selective attention.

The paper examines the developmental trajectory of somatostatin interneurons in the mouse visual cortex, showing their increasing influence on pyramidal neuron responses over time.

This study investigates how memory-irrelevant features in visual working memory affect visual processing, showing that they are temporarily represented as sensory analogs in early visual areas.

The paper investigates how attentional templates are represented in human visual cortex during preparation, finding dual formats of non-sensory and sensory-like representations.

The paper examines how cortical magnification and preferred spatial frequency in V1 covary with eccentricity and polar angle, finding proportionality in eccentricity but not polar angle.