Bridging Cognitive Science, Neuroscience, and Chaos Theory
Professor of Neurology & Cognitive Neurologist
Barış T. is a professor of neurology and cognitive neurologist whose work explores how the mind emerges from complex, adaptive systems. His research bridges systems neuroscience, oscillatory dynamics, and Bayesian cognition, with a focus on how information flows, stabilizes, and transforms in the brain.
He writes about the architecture of thought, network-level mechanisms of cognition, and the principles that govern how minds learn, decide, and evolve.
Grounded in cutting-edge neuroscience research and brain science discoveries
Applying complex systems theory to understand emergent patterns and behaviors
Bridging insights across cognitive science, philosophy, and computational models
Mind in Complexity explores the intersection of cognitive science, neuroscience, and chaos theory to develop a unified framework for understanding how the brain processes information, adapts to environments, and generates consciousness.
A framework proposing that cognitive processes operate through distinct phases, gated by neural oscillations that synchronize information flow across distributed brain networks. This mechanism enables dynamic integration and segregation of information processing.
Despite the brain's apparent complexity, it relies on a finite set of computational primitives—pattern recognition, prediction, abstraction, and feedback loops. Understanding these core mechanisms reveals how infinite complexity emerges from constrained tools.