In a groundbreaking initiative, the WKU AMS Graduate Student Chapter and the Department of Mathematics are set to co-host the first colloquium of the semester, featuring the distinguished Dr. Sevgi Sengul, a former graduate student of Western Kentucky University. Dr. Sengul completed her MSC and PhD in Biomathematics at Florida State University and currently serves as an associate professor at Antalya Bilim University, Turkey. Her extensive expertise encompasses biomathematics, computational neuroscience, mathematical modeling, dynamical systems, differential equations, machine learning, and more.

Scheduled for March 1st, 2024, at 4:30 pm, Dr. Sengul's virtual talk, titled "Interdisciplinary Insights: Bridging Mathematics and Neuroscience," promises to unravel the intricacies of neurobiological processes. The presentation will explore the integration of differential equations, transfer entropy, machine learning, deep neural networks, and EEG analysis, providing a comprehensive framework for understanding neural mechanisms.

Dr. Sengul will illuminate the power of differential equations in capturing the time-dependent progression of brain processes, allowing the simulation of dynamic systems mirroring the functioning of biological networks. The concept of transfer entropy, derived from information theory, will be explored to measure information flow within neural networks, enhancing our ability to identify causal connections and key elements influencing neurobiological dynamics.

Machine learning and deep neural networks will be showcased as indispensable tools for unraveling complex patterns and deriving valuable insights from intricate datasets. Dr. Sengul will emphasize their application in predictive modeling and revealing concealed connections within extensive datasets, showcasing their potential in advancing neuroscientific research.

Moreover, the talk will delve into the application of EEG analysis for identifying emotions, providing a unique perspective on the electrical activity of the brain. Through sophisticated signal processing techniques, researchers can accurately decipher emotional states, showcasing the synergy between neuroscience and technology in augmenting our comprehension of emotional processing in the brain.

This groundbreaking colloquium, organized by the WKU AMS Graduate Student Chapter and the Department of Mathematics, aims to underscore the interconnectedness of mathematical modeling, transfer entropy, machine learning, deep neural networks, and EEG analysis in advancing our understanding of neurobiological processes. Dr. Sevgi Sengul's presentation is poised to contribute significantly to the field of neuroscience research, bridging theoretical concepts with practical experiments and paving the way for creative approaches that will shape the future of the discipline.

The virtual colloquium on March 1st, 2024, at 4:30 pm, is open to the public and promises to be a unique opportunity for researchers, students, and enthusiasts to engage with cutting-edge ideas in neuroscience. Don't miss this chance to be part of a transformative exploration into the mysteries of the human brain!