toladele@unimed.edu.ng
Tolulope Oladele, a Lecturer at the Department of Anatomy, specializes in research at the intersection of Systems and Computational Neuroscience, focusing on the neural mechanisms underlying memory, learning, and decision-making. His research bridges the gap between experimental neuroscience and computational models. By integrating insights from multi-scale research with systems-level dynamics, his work seeks to link brain structure with complex behavior and brain activity. A recipient of several prestigious international scholarships and grant awards, Tolulope has received awards to complete advanced trainings at the University of Tokyo’s IRCN and Chen Institute (Neuro-inspired Computation and NeuroAI), the Janelia Research Campus, VA, USA (NeuroDataReHack), Ulster University, Northern Ireland (ISRC-CN3), and Neuromatch Academy, among others. Tolulope is a Neuromatch Ambassador promoting accessibility and inclusivity in Computational and Neuro-AI research for a global community. Additionally, he has published his work in several leading academic journals. Beyond his primary research, Tolulope is an active educator, teaching foundational and theoretical concepts in computational neuroscience through Neuroscience Workshops, Symposiums and Summer Schools to both local and international cohorts of students from different regions such as the US, UK, Germany, China, Korea, India, Uganda, and several other countries. He has collaborated on multiple grant-funded neuroscience projects. Some of these contributions include a collaborative project hosted at MEXA event with Google DeepMind's support on the development of a predictive model for postnatal depression, to his work as an Impact Scholar, where he utilized Reinforcement Learning (RL) agents and predictive architectures to decode decision-making processes in the brain's default mode network utilizing a high-dimensional fMRI datasets of participants in a risky scenario.
Anatomy
Assistant Lecturer
Anatomy, Computational and Systems Neuroscience