Francesca Prestori
Papers
2
Total Citations
160
H-Index
2
About
Francesca Prestori is a leading computational neuroscientist whose work bridges the gap between detailed biological data and large-scale brain simulation. Her research focuses on the cerebellum, a brain region critical for motor learning and coordination, and the mechanisms of synaptic plasticity that underlie learning. In her highly cited 2015 paper, "Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning" (96 citations), she provided groundbreaking insights into how distributed plasticity across cerebellar circuits supports learning, challenging the long-held view that plasticity is localized to a single site. Prestori is also a pioneer in realistic modeling, a methodology she advanced in her 2014 work (64 citations) that integrates detailed biophysical descriptions of neurons and synapses into microcircuits and, ultimately, large-scale brain networks. Her contributions have been instrumental in moving toward whole-brain simulation, offering a powerful framework for understanding neural computation. With a career dedicated to unraveling the cerebellum’s learning mechanisms and advancing computational tools, Prestori’s work continues to shape the future of systems neuroscience and brain-inspired AI.
Research Focus
Key Achievements
Top Papers
- 1
- 2Realistic modeling of neurons and networks: towards brain simulation.64 citations · 2014