Karim Jerbi

Papers

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About

Karim Jerbi is a pioneering neuroscientist whose research lies at the intersection of cognitive neuroscience, brain-computer interfaces (BCIs), and artificial intelligence. He is best known for his groundbreaking work in decoding neural activity from intracranial EEG (iEEG) and non-invasive recordings, advancing our understanding of how the brain orchestrates complex cognitive functions. Jerbi’s major contributions include developing innovative methods to "watch" brain activity in real time—a concept vividly captured in his widely cited 2009 work, "Watching Brain TV and Playing Brain Ball" (30 citations), which demonstrated how neural signals can be translated into interactive, game-like experiences. This work laid foundational insights for closed-loop BCIs and neurofeedback. More recently, Jerbi has explored how AI and machine learning can enhance iEEG research, as highlighted in his 2023 paper "How Does Artificial Intelligence Contribute to iEEG Research?" (3 citations), signaling a forward-looking integration of computational tools with neural data analysis. His impact is reflected in his growing citation record and his role in bridging experimental neuroscience with real-world applications, from clinical diagnostics to next-generation brain-machine interfaces. Jerbi’s work continues to inspire students and researchers at the frontier of cognitive and computational neuroscience.