Jonathan Mapelli

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About

Jonathan Mapelli is a leading figure in computational neuroscience, whose work bridges the gap between biological brain function and artificial intelligence. His primary research focuses on realistic multiscale modeling of neural systems, from detailed biophysical descriptions of individual neurons and synapses to the integration of these components into microcircuits and large-scale brain networks. His highly influential 2014 paper, "Realistic modeling of neurons and networks: towards brain simulation" (64 citations), established a foundational methodology for investigating brain functions through biophysically detailed simulations. More recently, Mapelli has been at the forefront of neuromorphic computing, co-editing a 2025 piece on "Brain-inspired computing: from neuroscience to neuromorphic electronics for new forms of artificial intelligence" (7 citations), which explores how neural principles can inspire next-generation AI hardware. By connecting cellular-level mechanisms to network dynamics and AI applications, Mapelli’s work provides essential tools for understanding neural computation and advancing brain-inspired technologies.