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AI Determines How the Brain Predicts and Processes Thoughts
Sep 10, 2024 • Neuroscience News • (4 Minute Read)
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In a pioneering study, Dr. Patrick Krauss and Dr. Achim Schilling from the Cognitive Computational Neuroscience Group at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) used artificial intelligence to gain major insights into how the brain predicts future events and processes information. By analyzing local field potentials (LFPs), they discovered that the brain remains active in anticipating possible scenarios, even in a resting state. This research may lead to better diagnostic tools and treatments for neurological diseases by improving our understanding of how thoughts and feelings are processed in our minds. The study also reveals the potential for AI to continuously make predictions, even without processing any input, which could have implications for various applications, including vehicle safety. The results show how the fusion of technology and brain research is expanding the boundaries of cognitive processes and brain function, ultimately leading to innovative approaches in medical diagnosis and therapy.
The findings were published in NeuroImage and demonstrate the potential of using unsupervised machine learning to extract meaningful information from single-trial electro-physiological recordings, offering new insights into how information is processed in the cerebral cortex. This research opens up new avenues for understanding the complexities of the human brain, with the potential to improve diagnosis and treatment for a range of neurological diseases.
This news summary is based on an original article from Neuroscience News and can be read here: AI Determines How the Brain Predicts and Processes Thoughts