Matthew F. Panichello

The paper shows that condition-dependent noise correlations exist independently of condition-dependent spike counts in neuronal populations.

This paper introduces a live spike sorting system that achieves performance comparable to offline sorting and enables closed-loop interventions in neural recordings.

This study identifies the neural mechanisms of swap errors in working memory by analyzing neural population recordings in monkeys performing multi-stimulus tasks.

The paper shows that mnemonic information alternates between On and Off periods in prefrontal neurons during memory delays, coexisting with activity-silent mechanisms.

This study investigates how prefrontal cortex controls working memory by selecting and transforming memory representations in monkeys during task-switching.

The paper investigates how expectations and sensory information integrate during perception by testing fusion mechanisms through behavioral and neural experiments.

The paper investigates how delay-period BOLD activity in frontal, parietal, and occipital cortex relates to attractor dynamics in visual working memory, finding that diffusion explains more variance in frontal and parietal activity, while drift explains more in occipital cortex.

This study shows error-correcting attractor dynamics reduce noise effects in working memory by pulling memories toward stable representations in both humans and monkeys.