Mimicking Synaptic Plasticity with Memristive Devices
Key Points
The aim is to explore how memristive devices can replicate synaptic plasticity, important for learning and memory.
Presented findings at a scientific meeting
Demonstrated electrical properties of memristive devices
Discussed potential applications in neuromorphic systems
Indications that memristive devices can mimic aspects of synaptic behavior
Potential advancements in learning mechanisms for artificial intelligence
Abstract
Poster presented by Gonzalo Rivera-Sierra at the VIII ITQ Winter Meeting of the Instituto de Tecnología Química (ITQ, CSIC-UPV), València, Spain, on 10 February 2026.