Nuttida Rungratsameetaweemana

The paper identifies how medial frontal cortex integrates semantic content and sensory evidence for decision-making using human neurosurgical data and a vision-language model.

This study identifies neural population dynamics in macaques during goal-directed visual attention, showing how attention and category are represented across cortical networks.

The paper shows that ambiguity aversion reflects diverse internal belief models and that physiological responses track subjective beliefs rather than objective task structure.

The paper shows that verbal task instructions rapidly reconfigure visual representations in ventral temporal cortex via medial frontal cortex modulation.

The paper shows that human working memory is supported by transient, burst-like neural activity rather than sustained firing, with distinct roles for cell types.

This study shows that ALM reconfigures local circuits to route sensory input to motor output based on context, using contingency neurons that encode both context and choice.

This study investigates the neural mechanisms of cooperation in mice, showing that the medial prefrontal cortex encodes leadership dynamics and social value maps in an asymmetric, role-specific manner.

This study investigates how humans use allocentric and egocentric cognitive maps for spatial memory through a behavioral task involving virtual environments and coordinate systems.

The paper shows that visual cortex representations change based on decision boundaries, improving categorization performance in a context-dependent manner.

This study shows that the human hippocampus can process oddball tones and language stimuli, including semantic and grammatical features, even under general anesthesia.

This study shows that adding random noise to RNNs improves training and enables stable working memory by increasing synaptic decay time constants in inhibitory units.

The paper trains biologically inspired RNNs on cognitive tasks to study how bottom-up and top-down information is integrated, finding that low-level sensory neurons use disinhibitory circuits to combine these signals dynamically.

This study uses EEG to analyze brain network reconfigurations during social media and in-person interactions, finding that opinion change is linked to less frequent network reconfigurations.

This study uses graph-theoretical analysis to identify network dynamics predicting seizure propagation patterns and post-onset dynamics in epilepsy.

The paper investigates how speed pressure affects decision-making by analyzing sensory evidence accumulation, finding that responses are triggered near the peak of evidence accumulation rather than after reaching a threshold.