A review on the complexities of brain activity: insights from nonlinear dynamics in neuroscience

The application of nonlinear dynamics in neuroscience has provided essential insights into the functioning of the brain, shedding light on its complex behaviors and functions. This review reflects on the remarkable developments achieved in computational neuroscience, an emerging discipline that examines how the brain operates in terms of the information-processing features that constitute the nervous system’s construction. This comprehensive review covers a broad range of topics, including physiology, nonlinear dynamical methods for analyzing neural computation involving neural oscillations, synchronization events, chaotic dynamics, and network connections, brain circuit simulation, and tools for neuromorphic computation. In addition, we look at how nonlinear dynamics might help us comprehend neurological disorders, cognitive functioning, and the dynamical behavior of neural networks.