Nuttida Rungratsameetaweemana

As we navigate through diverse environments and social interactions, we constantly transform sensory information into optimal behaviors. This sensorimotor conversion is inherently complex and non-linear, requiring the brain to flexibly map identical sensory inputs onto a spectrum of potential actions informed by context and immediate goals. Rungratsameetaweemana’s research program focuses on understanding the computational principles and coding schemes employed by the cortical hierarchy to support this cognitive flexibility and adaptive information processing.

Rungratsameetaweemana’s interdisciplinary research interests lie at the intersection of systems neuroscience and artificial intelligence, where her lab integrates complementary computational and experimental approaches. These include deep learning models and machine learning techniques combined with psychophysical and electrophysiological data, such as human intracranial recordings and rodent electrophysiology.