Visual perception and processing mechanisms

Mapping Visual Contrast Sensitivity and Vision Loss Across the Visual Field with Model-Based fMRI

This paper develops an fMRI method to measure contrast sensitivity across the visual field without requiring precise fixation, showing reliable patterns and tolerance to eye movement.

Distinct population dimensions separate sensory adaptation and expectation-related signals in visual cortex

The paper shows that sensory adaptation and expectation-related signals in visual cortex are represented as distinct population dimensions, with ACC input modulating the expectation-related axis.

Edge-enhanced disruptive camouflage is contrast dependent in VR environments

The paper develops a VR environment to study disruptive camouflage, finding that edge-enhanced disruptive camouflage is more effective when disruptive patches have low contrast.

A cascade of attentional and default mode network dynamics following the resolution of perceptual ambiguity

The paper investigates the spatiotemporal dynamics of brain networks during spontaneous perceptual reversals using fMRI and identifies a network cascade involving attentional and default mode networks.

Retro-cue alerting effects on conscious perception across different levels of target visibility

This study investigates how retro-cue alerting affects conscious perception at different target visibility levels, finding that retro-cues enhance perception more when targets are more visible.

Eccentricity, but not category, organizes infant ventral temporal cortex

The paper investigates how eccentricity, not category, organizes infant ventral temporal cortex by showing that collateral sulcus in infants responds more to large stimuli than small ones, without a preference for scenes over letters.

Color discrimination in action: High-throughput measurement in immersive VR

This study shows that immersive VR can efficiently measure color discrimination with high throughput and reliable results, replicating known color discrimination asymmetries.

Resolving the treachery of images: Neural signatures during natural interactions with real objects are as reliable as while viewing images

The paper shows that neural activity during natural interactions with real objects is as reliable as when viewing images, suggesting efficient encoding of real objects.

Gait kinematics dynamically tune optic flow motion-in-depth perception during human locomotion

This study shows that human gait kinematics dynamically adjust optic flow perception during locomotion, with step frequency modulating sensitivity and bias in response to stimulus speed.

Spiking and locus coeruleus input drive predictive visuomotor plasticity in V1 layer 2/3 neurons

The paper shows that spiking in layer 2/3 neurons and locus coeruleus axons drive visuomotor plasticity in mouse V1, supporting prediction error minimization through activity-dependent reorganization.

Endogenous attention is invariant to sequential effects in performance around the visual field

The paper reanalyzes data from three studies to assess sequential effects on response and whether endogenous attention modulates performance across visual field locations and trial history, finding no sequential attention effects.

Memory-based and surround-based pattern completion show distinct laminar profiles in human V1

The paper investigates memory-based and surround-based pattern completion in human V1 using fMRI, finding distinct laminar decoding profiles for each mechanism.

Temporal Organization of Synaptic Input and Intrinsic Excitability Shape Direction Selectivity in the Developing Xenopus laevis Optic Tectum

The paper investigates how synaptic input timing and intrinsic neuronal properties contribute to direction selectivity development in Xenopus laevis optic tectum neurons.

Retinal adaptive mechanisms confer selectivity to homogeneous objects in natural scenes

The paper shows that adaptive mechanisms in retinal ganglion cells reshape feature selectivity to detect homogeneous regions in natural scenes.

Memory retrieval explains dynamic effects of expectations on perceptual decisions

This paper introduces a model that explains how expectations influence perceptual decisions by integrating memory retrieval and dynamic uncertainty estimation.

Different patterns of eye-specific input are relayed to overlapping populations in the mouse superior colliculus

The paper shows that mouse superior colliculus neurons receive input from both eyes, with similar proportions and molecular markers across different input patterns.

Vision-language encoding models reveal an image-computable food-quality dimension in human occipitotemporal cortex

The paper decomposes perceived calorie ratings from food images using CLIP embeddings and shows that a visual-semantic component explains neural representations in ventral visual cortex.

Perceptual constraints of motion shape animal movement strategies

This study shows that fish adjust their movement strategies to optimize prey detection by balancing motion-induced perceptual costs and benefits.

Self-guided search in immersive VR reveals active hierarchical planning

This study uses immersive VR to show that naturalistic visual search involves hierarchical planning with shifting attentional priorities across subgoals.

Attention biases the appearance of rapidly alternating stimuli

The paper shows that attention can alter the perceived duration of stimulus frames, with greater effects when one frame is more salient.

Cell-type specific inhibitory dynamics shape binocular response normalization in visual cortex

The paper investigates inhibitory dynamics in PV and SST interneurons in mouse visual cortex, finding PV interneurons exhibit ISN-like properties while SST interneurons show different response dynamics.

Apparent food selectivity reflects multiple non-food image properties

The paper tests whether fMRI food selectivity reflects food properties or other image features, finding that responses are driven by contextual and material features rather than food alone.

Sustained multidimensionality of object representations as a scaffold for diverse behaviours

The paper investigates how neural representations of objects support diverse behaviors, finding that multidimensional representations are accessible across tasks but limited by object familiarity.

Connectome-based biophysical modeling of a figure-ground discrimination circuit

The paper uses a Drosophila connectome and biophysical simulations to show that a reciprocal circuit between T4a motion detectors and vCH cells supports figure-ground discrimination through shunting inhibition.

Blinded by motion: Electrophysiological decoupling of time dilation and confidence

The paper investigates how motion affects perceived duration and confidence judgments, finding that neural responses differ between these two effects.

Rapid estimation of receptive fields across stages of the early visual system

This paper introduces RMO/RCASE, a method for rapidly estimating receptive fields in visual neurons across stages of the early visual system using structured stimuli, showing improved performance over conventional methods in mice but comparable results in primates.

Zero-shot evaluations expose structured generalization limits in predictive models of the brain

The paper introduces a zero-shot evaluation framework to assess predictive models of the brain, revealing structured generalization limits and linking prediction performance to cognitive neuroscience findings.

A transformer-based model reveals sparse, stimulus-dependent orientation readout from macaque V1 population activity

This paper uses a transformer-based model to show that macaque V1 neurons use sparse, stimulus-dependent readout for orientation information.

A geniculocortical circuit model predicts functional organization underlying efficient spatial frequency coding in the mouse visual system

The paper develops a geniculocortical circuit model to show that SF decorrelation in V1 arises from temporal organization of feedforward inputs and intracortical inhibition.

Bayesian Efficient Coding

Letting sensory codes optimize any posterior-based loss makes information maximization (infomax) one special case; blowfly large monopolar cell responses match p = 1/2 Lp reconstruction-error codes better than infomax.