Nuttida Rungratsameetaweemana

Research Interest

Cognitive/Systems Neuroscience, Theoretical Neuroscience, Neurobiology of Learning and Memory, Human Cognition, Behavior and Neuroscience

Research

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. Our lab focuses on understanding the computational principles and coding schemes employed by the cortical hierarchy to support this cognitive flexibility and adaptive information processing.

Our research interests lie at the intersection of systems neuroscience and artificial intelligence, where we integrate 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.

Henderson MM, Serences, JT, Rungratsameetaweemana N (In revision). Dynamic categorization rules alter representations in human visual cortex. bioRxiv: 0.1101/2023.09.11.557257v2.

Aquino TG*, Kim R*, Rungratsameetaweemana N (Under review). Disinhibitory signaling enables flexible coding of top-down information. bioRxiv: 10.1101/2023.10.17.562828v2.

Rungratsameetaweemana N*, Kim R*, Chotibut T, Sejnowski TJ (In revision). Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation. bioRxiv: 10.1101/2022.10.14.512301v4.

Rungratsameetaweemana N, Lainscsek C, Cash SS, Garcia JO, Sejnowski TJ*, Bansal K* (2022). Brain network dynamics codify heterogeneity in seizure evolution. Brain Communications, 4(5): fcac234.

Pao G, Smoth C, Park J, Takahashi K, Watanakeesuntorn W, Natsukawa H, Chalasani SH, Lorimer T, Takano R, Rungratsameetaweemana N, Sugihara G (2021). Experimentally testable whole brain manifolds that recapitulate behavior. arXiv:2106.10627.

Rungratsameetaweemana N, Squire LR, Serences JT (2019). Preserved capacity for learning statistical regularities and directing selective attention after hippocampal lesions. The Proceedings of the National Academy of Sciences, 116 (39): 19705-19710.

Rungratsameetaweemana N*, Itthipuripat S*, Salazar A, Serences JT (2018). Expectations do not alter early sensory processing during perceptual decision-making. Journal of Neuroscience, 38 (24) 5632-5648.