Mohammad‐Reza A. Dehaqani

The paper investigates how conscious and unconscious priming affect identity and category recognition, finding that conscious awareness is required for priming to have opposite effects on these recognition levels.

The paper investigates SF coding in the IT cortex of macaque monkeys and finds that SF representation is distinct from category coding, with SF profiles predicting category selectivity at the population level.

This study decodes stimulus categories using microsaccade rates in monkeys and humans, achieving 85% accuracy and recall.

This paper presents a low-cost protocol to recondition neural microelectrodes with material failure, demonstrating its effectiveness through experimental results on tungsten electrodes.

The paper investigates how spatial frequency affects category representation in the macaque IT cortex, finding that mid-level categories are robust across spatial frequencies while high spatial frequencies are critical for superordinate categories.

This paper introduces an adaptive spike sorting algorithm that improves detection, alignment, and clustering of spikes by using a mixture of skew-t distributions, showing better precision and recall across datasets.

The paper shows that coordination between prefrontal and temporal cortex, measured by phase-locking of spikes and LFPs, predicts working memory performance and object-selective persistent activity.

The paper shows that prefrontal neurons enhance spatial representation during cognitive tasks by altering population-level activity rather than individual neuron selectivity.