Dynamical system modeling in schizophrenia: a narrative review of computational psychiatry frameworks
Abstract The temporal evolution of schizophrenia symptoms is inherently complex and non-linear. Clinical states fluctuate between relatively stable and highly disorganised phases. These dynamics are only partially captured by conventional diagnostic frameworks. This limitation has motivated the development of models th...