Makoto Kusunoki A

The paper examines bidirectional information convergence between dorsal and ventral LPFC during attentional selection, showing it is specific to the choice phase of a task.

This study shows how feedback reshapes neural representations in vlPFC through oscillatory dynamics, making them closer to future retrieval states.

This study examines how goal-subgoal problem solving is encoded in a distributed network of frontal lobe regions in monkeys, showing specialized and shared representations across regions.

This study shows how neural circuits adjust their representation of task-relevant and irrelevant stimuli based on noise and metabolic cost, aligning with minimal representational strategies observed in primate prefrontal cortex.

The paper identifies mixed selectivity neural codes in macaque dorsomedial parietal cortex for processing naturalistic video content and temporal information.

This study identifies neural activity in the macaque medial posterior parietal cortex that reflects temporal context during encoding and retrieval of temporal-order memories.

This study shows that prefrontal cortex representations change from high-dimensional and nonlinear to low-dimensional and rule-selective as animals learn a new task rule.

This study shows that frontal cortex neurons in monkeys exhibit a binary one-shot switch between explore and exploit behaviors during a task with a known structure, rather than continuous changes linked to prediction errors.

The paper analyzes prefrontal cortex activity in a primate task to track neural dynamics during decision-making and attentional control, revealing interhemispheric communication and decision coding patterns.

The paper distinguishes between serial and parallel processing in visual attention using neural models and electrophysiological data from rhesus monkeys.