Master’s Thesis at the University of Basrah Explores Adaptive Parameters of Neural Cell Models
A master’s thesis at the College of Science, University of Basrah, investigated the adaptive parameters of neural cell models.
The thesis, submitted by student Bushra Mohammed Abdul-Abbas, aimed to study a new model of adaptive parameters for fourth-order neural cell models related to the Hodgkin–Huxley syndrome.
The research involved designing an adaptation algorithm known as the adaptive recognition algorithm for neural cell model parameters, which was theoretically and computationally validated.
The thesis concluded that the primary challenge lies in estimating the parameters of ordinary differential equation systems to derive computationally efficient representations of their solutions. These systems were developed, validated, and provided the best possible parameter estimation.
Department of Media and Government Communication
