Gouki Okazawa

This study shows macaques can plan ahead in new maze tasks without prior experience, avoiding deceptive paths based on future consequences.

This study trains monkeys to report their own sensory cortical activity patterns, showing improved alignment between neural activity and choices beyond natural perceptual training limits.

This paper introduces a factor-centric RNN framework to uncover interpretable circuit mechanisms in higher cognition, identifying novel mechanisms in working memory and decision-making.

The paper shows that TEa neurons encode decision variables as running averages without ramps during object-based decisions, contrasting with traditional models of evidence accumulation.

This study shows that a simple evidence accumulation model can explain human object recognition with saccadic eye movements, without requiring complex interactions between visual and oculomotor systems.

The paper tests object categorization abilities in monkeys, humans, and deep networks across multiple rules, finding monkeys and DNNs share similar performance while humans perform better with language-informed models.

The paper shows that humans experience a brief reduction in sensory-to-decision efficiency after switching perceptual rules, suggesting a bottleneck in adjusting sensory information flow.

The paper shows that decision uncertainty influences motor memory formation and retrieval by contextualizing actions, allowing different motor memories to be formed based on varying levels of uncertainty.

This study shows humans categorize faces by linearly integrating spatial and temporal evidence, adjusting feature weights for different category boundaries.

This study challenges conventional models of decision variable representation in the parietal cortex by showing opposite response patterns in a face-discrimination task compared to motion-discrimination tasks.

This study shows that psychophysical reverse correlation reflects both sensory and decision-making processes and can be distorted by decision-related factors.