Visual perception and processing mechanisms

Center-surround inhibition in expectation and its underlying computational and artificial neural network models

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

Top-down feedback can explain the existence of working memory traces in early visual cortex

This study shows that top-down feedback, not short-term synaptic plasticity, explains working memory traces in early visual cortex by enabling robust and selective memory storage.

Predicting functional topography of the human visual cortex from cortical anatomy at scale

This paper introduces a deep learning tool to predict functional topography of the human visual cortex from anatomy, demonstrating its utility across diverse conditions and large-scale datasets.

Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI.

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 Latency of a Domain-General Visual Surprise Signal is Attribute Dependent

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.

Synthesizing images to map neural networks to the human brain

The paper develops a method to synthesize images for mapping neural network layers to brain regions using fMRI, finding more selective mappings than natural images.

The impact of parvalbumin interneurons on visual discrimination depends on strength and timing of activation and task difficulty

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.

Neural encoding of innate preference to gravity-defying motion

The paper investigates the neural basis of innate attention to gravity-defying motion in domestic chicks, finding direction-sensitive neurons in the NCL that predict behavioral responses to upward movement.

Emergence of a contrast-invariant representation of naturalistic texture in macaque visual cortex

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.

Numerosity adaptation suppresses early visual responses

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.

Population-Level Activity Dissociates Preparatory Overt from Covert Attention

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.

Seeing through the Static: Reduced Imagery Vividness in Aphantasia is Associated with Impaired Temporal Lobe Signal Complexity

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

Adaptive stretching of representations across brain regions and deep learning model layers

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

Rapid Computation of High-Level Visual Surprise

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.

Vectorial boundary representation of 3D layout in human visual cortex

This study investigates how the human brain encodes 3D layout information using vector-based models, revealing spatiotemporal dissociation between boundary distance and orientation representations in fMRI data.

Impact of a transient neonatal visual deprivation on the development of the ventral occipito-temporal cortex in humans

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.

Hemodynamic modelling improves population receptive field estimates

This paper shows that fitting the hemodynamic response function concurrently with population receptive field models improves accuracy and reveals variability in HRFs that can affect pRF estimates.

Active vision modulates early cortical stages of visual processing: Evidence from MEG and eye-tracking

This study uses MEG and eye-tracking to show that active vision modulates early cortical visual processing through sequential modulations across saccades, beyond adaptation effects.

From Tasks to Topology: Dorsal and Ventral Streams Emerge in Optimized Neural Networks

This paper shows that dual-stream visual pathways emerge in optimized neural networks without architectural constraints, reflecting task-driven specialization and temporal dynamics.

Context-dependent benefits of training and reminders in visual skill learning

The paper investigates how training and reminders affect visual skill learning, finding that reminders can be as effective as full training in certain contexts.

Top-down perceptual inference shaping the activity of early visual cortex

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.

Relative Blindsight Induced by Incongruency with Working Memory

The paper shows that working memory incongruency affects subjective perception but not general perceptual capacity in nonclinical observers.

Hierarchical and fine-scale mechanisms of binocular rivalry for conscious perception

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.

Emergent Neuronal Mechanisms Mediating Covert Attention in Convolutional Neural Networks

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

AI-discovered tuning laws explain neuronal population code geometry

This paper uses AI to discover an equation explaining how neuronal tuning smoothness controls population code geometry in visual cortex and head-direction cells.

Multiple patterns of selectivity in superior colliculus control visual search

This study investigates how superior colliculus neurons integrate target guidance and behavioral history signals during visual search, finding evidence for mixed, dynamic, and pure selectivity patterns.

Response dynamics in macaque ventral stream recapitulate the visual hierarchy

The paper shows that macaque ventral stream neurons respond to images with a simple-to-complex selectivity progression over time, mirroring the visual hierarchy.

Unveiling early visual cortical mechanisms in perceptual filling-in: a parametric study of eccentricity and movement dependence

This study investigates how eccentricity and movement of visual stimuli affect perceptual filling-in by measuring neural adaptation in early visual areas.

Toward Understanding the Role of Visual Hierarchy in Flicker-induced Time Dilation: A Preregistered Study

This study investigates whether higher-level visual regions contribute to flicker-induced time dilation using SWIFT and finds no modulation of time dilation by flicker conditions or entrained oscillations.

Predatory orienting is jointly controlled by optic tectum and pretectum.

This study identifies how the optic tectum and pretectum coordinate to control predatory orienting in larval zebrafish through distinct neural pathways.