Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 1
Explore the fascinating world of nonlinear dynamics in neuronal models and their applications to bird song dynamics in this comprehensive lecture, the first of a three-part series. Delivered by Ana Amador from Universidad de Buenos Aires, Argentina, as part of the School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience at ICTP-SAIFR. Delve into the intricate relationships between neuroscience and bird vocalizations, gaining insights into how mathematical models can help understand complex biological systems. Learn about the fundamental concepts of nonlinear dynamics and their relevance to neuronal behavior, setting the foundation for advanced topics in subsequent lectures. Ideal for students and researchers in neuroscience, biology, physics, and applied mathematics interested in interdisciplinary approaches to studying brain function and animal behavior.