Gholam‐Ali Hossein‐Zadeh

The paper identifies four frontal face patches in the human prefrontal cortex involved in social processing of faces using fMRI and functional connectivity analysis.

The paper shows that attentional bias in human visual cortex decreases with increasing target-distractor similarity, explained by tuning sharpening rather than gain increase.

The paper uses MVPA to show that dual-task interference in simulated driving disrupts information processing in the superior parietal lobe, correlating with slower reaction times.

The paper demonstrates that divisive normalization models better describe neural responses in the human visual cortex compared to weighted sum or average models, especially under attention conditions.

This study uses dynamic causal modeling to analyze effective connectivity in schizophrenia patients, finding significant dysconnection in key networks and correlations with cognitive impairments.

The paper identifies two brain networks with position-tolerant action representations, showing distinct relationships with objective movement measures and subjective action judgments.

This study investigates dual-task interference in a simulated driving environment, finding that tasks are processed in a partial-parallel manner.