Ramin Toosi

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.

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.