Integrating computational neuroscience into Africa's academic curriculum: Challenges, opportunities, and strategic implementation.

Journal: Journal of computational neuroscience
Published Date: Jul 1, 2025

Abstract

Computational Neuroscience (CN) is an interdisciplinary field that combines neuroscience, mathematics, artificial intelligence, theoretical models and experimental data to understand how the brain works. It unravels the intricacies of the nervous system contributing significantly to cognitive science, neuroengineering and machine learning. CN importance in artificial intelligence and medical research remains underrepresented in Africa's academic landscape. This paper explores the current state of CN in Africa, the challenges hindering its integration, the emerging opportunities, and the evidence-based strategies for curriculum implementation. Capacity building, interdisciplinary collaboration, open science, theoretical neuroscience, development of local capacity, and leveraging international partnerships are emphasized.

Authors

  • Ibeachu P Chinagorom
    Department of Anatomy, Faculty of Basic Medical Sciences, University of Port Harcourt, Rivers State, Port Harcourt, Nigeria. chinagorom.ibeachu@uniport.edu.ng.
  • Peter Oseghale Ohue
    Computational Statistics Unit, Department of Statistics, Faculty of Science, University of Ibadan, Ibadan, Oyo State, Nigeria.

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