Current interests
I'm currently developing cognitive architectures as independent projects, implementing principles from prefrontal cortex organisation: hierarchical control systems, metacognitive monitoring, and stability optimisation through ensemble methods analogous to neuromodulation. This combines reinforcement learning, Bayesian approaches, and insights from computational neuroscience.
Riyom - Jos, Plateau state, Nigeria .
About me
I'm a data professional with a neuroscience background, currently exploring cognitive architectures and AI systems inspired by prefrontal cortex function and neuromodulation. This work bridges my academic training in computational neuroscience with practical interests in machine learning systems.
Education
My academic background spans philosophy (specialising in epistemology and history of science), cognitive sciences, and neuroscience. I completed my PhD modelling prefrontal cortex architecture and its role in cognitive control, consciousness access, and neuromodulation in conditions like schizophrenia.
The prefrontal cortex is the seat of higher cognitive functions and undergoes extraordinary development in homo sapiens. Its neuromodulation—through dopaminergic/serotonergic pathways and cholinergic mechanisms—is essential to cognitive function. These robust models of neuromodulation and neuronal activity have directly inspired machine learning and AI architectures
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Broader research interests
Beyond cognitive architecture, I remain interested in consciousness studies, the intersection of science and philosophy, and questions about what characterises homo sapiens evolution—from language and symbolic thought to technology and spirituality.
I write and illustrate my own texts, and enjoy designing surveys to collect people's perspectives on topics I consider important shifts in our society or worldview—such as how we navigate metaphysical beliefs and existential questions across scientific, religious, and cultural traditions.