Daniela Gandolfi
Papers
2
Total Citations
71
H-Index
2
About
Daniela Gandolfi is a leading computational neuroscientist whose work bridges the gap between biological realism and artificial intelligence. Her primary research areas include realistic neural modeling, brain simulation, and neuromorphic computing. Her most influential contribution is the development of methodologies for constructing biophysically detailed models of neurons and synapses, which can be scaled from individual microcircuits to large-scale brain networks—a framework essential for advancing whole-brain simulation. This foundational work, detailed in her highly cited 2014 paper (64 citations), has shaped how researchers approach the computational replication of neural dynamics. More recently, Gandolfi has explored the intersection of neuroscience and AI, co-editing a 2025 special issue on brain-inspired computing and neuromorphic electronics. Her editorial (7 citations) examines how biological principles can inform next-generation artificial intelligence, moving beyond traditional architectures. Through her pioneering efforts, Gandolfi continues to drive the field toward more powerful, efficient, and biologically faithful computational systems, making her a key figure in the quest to understand and emulate the brain.
Research Focus
Key Achievements
Top Papers
- 1Realistic modeling of neurons and networks: towards brain simulation.64 citations · 2014
- 2