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

IF 2 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Ibeachu P Chinagorom, Peter Oseghale Ohue
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引用次数: 0

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.

将计算神经科学纳入非洲学术课程:挑战、机遇和战略实施。
计算神经科学(CN)是一个跨学科的领域,它结合了神经科学、数学、人工智能、理论模型和实验数据来理解大脑是如何工作的。它揭示了神经系统的复杂性,为认知科学、神经工程和机器学习做出了重大贡献。中国在人工智能和医学研究方面的重要性在非洲学术领域的代表性仍然不足。本文探讨了非洲网络教育的现状、阻碍其整合的挑战、新出现的机遇以及基于证据的课程实施策略。强调能力建设、跨学科合作、开放科学、理论神经科学、地方能力发展以及利用国际伙伴关系。
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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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