Strength and perception of computational neuroscience among Nigerian students and early career researchers

Computational neuroscience is a field that intersects computer science, mathematics, psychology, and biology in understanding neural networks and brain functions. Despite global advancements, its adoption in Nigeria is limited, and it has yet to fully integrate it into research, education, and practice. This study assessed the awareness, interest, and perception of computational neuroscience among Nigerian students and early career researchers to inform strategies for capacity building and funding. A validated questionnaire captured demographics, knowledge, career motivation, and perceived opportunities, and responses were analyzed using descriptive and inferential statistics. Results revealed a predominantly young (49.4 % aged 21-30) and female (57.65 %) demographic, with 62.3 % being undergraduates. Although interest in computational neuroscience was high (51.9 % rated 4 or 5 on a 5-point scale), knowledge levels were notably low (63.4 % rated 1 or 2). Consistent with this gap, 29 % of respondents expressed a likelihood of enrolling in a computational neuroscience program in the future. Most respondents advocated for increased training and funding (77.7 %), while 64.6 % perceived limited attention to the field in Nigeria. Career prospects were mainly identified in healthcare technology (27.77 %) and academic research (25.61 %). Statistical analysis revealed associations between age and career interest (p = 0.036) and between educational qualifications and formal training (p = 0.001). This study's findings highlight strong enthusiasm but insufficient knowledge and institutional support, underscoring the urgent need for curriculum integration, specialized workshops, interdisciplinary collaboration, and strengthened infrastructure to advance computational neuroscience in Nigeria.