Hamid Soltanian-zadeh A

Local recurrence accounts for extended processing during occluded-object recognition

The paper investigates how local recurrence contributes to occluded-object recognition by analyzing neural dynamics and computational models.

Language-aligned models and structured scene descriptions reveal sensitivity to compositional scene structure in the high-level visual cortex

The paper shows that structured scene descriptions, not just object co-occurrence, predict high-level visual cortex responses better, and language-aligned models capture this structure.

Coherent scene context accelerates and reshapes neural object representations

The paper shows that coherent scenes accelerate object recognition by shaping neural representations through anticipatory context, as demonstrated by EEG and multivariate pattern analysis.

Structural Connectivity Selectively Constrains Intrinsic BOLD Timescales through Graph-Smooth Neural Activity

The paper uses graph signal processing to analyze how structural brain connectivity influences intrinsic BOLD timescales, showing structure-coupled signals strongly correlate with connectivity strength.

Sex-related structural alterations across common epilepsies: a worldwide ENIGMA study

This study examines sex differences in structural brain alterations in common epilepsies using neuroimaging data from a large international cohort, finding some regional differences but no significant sex-by-diagnosis interactions.

Does Human-Like Contextual Object Recognition Emerge from Language Supervision and Language-Guided Inference?

This study investigates how scene context influences object recognition in humans and models, showing that vision-language models with language supervision better replicate human performance.

Associations between epilepsy-related polygenic risk and brain morphology in childhood

The paper examines associations between epilepsy-related polygenic risk scores and brain morphology in children, finding PRS-related cortical thinning linked to structural patterns in TLE-HS patients.

A worldwide ENIGMA study on epilepsy-related gray and white matter compromise across the adult lifespan

This study examines age-related changes in grey and white matter in TLE patients across the adult lifespan, finding accelerated aging effects after age 55.

Topographic divergence of atypical cortical asymmetry and regional atrophy patterns in temporal lobe epilepsy: a worldwide enigma study

This study identifies divergent patterns of atypical cortical asymmetry and regional atrophy in temporal lobe epilepsy using MRI data from a large multi-site cohort.

Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study

This study links structural network changes in epilepsy syndromes to risk gene expression patterns using ENIGMA data.

Impaired dynamic profile of brain recurring functional connectivity states in Alzheimers disease

The paper identifies impaired dynamic functional connectivity states in Alzheimer's disease patients compared to healthy controls and links these changes to cognitive decline.

White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA Epilepsy study

This study identifies white matter microstructural differences across epilepsy syndromes using diffusion MRI data from a large multicenter cohort.

Network-based atrophy modelling in the common epilepsies: a worldwide ENIGMA study

This study identifies network associations with atrophy patterns in epilepsy using neuroimaging and connectome analysis across 1,021 patients and 1,564 controls.

Learning Complex Representations from Spatial Phase Statistics of Natural Scenes

This paper introduces a generative model for natural scenes that uses complex domain signals and non-uniform phase priors, showing improved performance in blind source separation and revealing phase-sensitive complex cells in the visual cortex.

Resting-state fMRI Signals of Intelligent People Wander in a Larger Space

The paper investigates the relationship between resting-state fMRI signals and intelligence, finding that signals from intelligent individuals occupy a larger functional space with more separated components.

A Change-point Analysis Method for Single-trial Study of Simultaneous EEG-fMRI of Auditory/Visual Oddball Task

This paper introduces a nonparametric change-point detection method for single-trial analysis of simultaneous EEG-fMRI data from auditory/visual oddball tasks, revealing brain activity patterns related to attentional processes.