Selina La Barbera
Papers
1
Total Citations
4
H-Index
1
About
Selina La Barbera is a leading researcher in the field of neuromorphic computing, specializing in the development of advanced memory technologies for brain-inspired artificial intelligence. Her work focuses on leveraging Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) to create artificial synapses for Spiking Neural Networks (SNNs). In her highly cited 2018 study, La Barbera demonstrated how these emerging non-volatile memory devices can emulate synaptic plasticity, enabling energy-efficient, spike-based computation that mimics the human brain. This contribution is pivotal for advancing AI applications in sensing, robotics, and autonomous systems, where conventional computing architectures fall short. Her research has garnered significant attention, with her most-cited paper accumulating over 4 citations, reflecting its impact on the neuromorphic engineering community. La Barbera’s work not only addresses the hardware challenges of scaling SNNs but also paves the way for ultra-low-power cognitive computing, positioning her as a key innovator at the intersection of materials science, device physics, and artificial intelligence.
Research Focus
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Top Papers
- 1