Spatiotemporal Ionics in 2D K-MnO2 for Neuromorphic Systems

Our recent paper appeared on Materials Today introduces an electrolyte-free, two-dimensional manganese dioxide material that can accommodate potassium ions, mimicking the behavior of biological neural networks. The engineered material exhibits electrically driven ion migration coupled with a phase transition, resulting in negative differential resistance. This unique characteristic enables the imitation of neural dynamics, including short-term and long-term plasticity, which the researchers demonstrated in a sequential motion recognition platform. Furthermore, they explored the potential for expanding this system into multi-terminal architectures for advanced neuromorphic computing and bio-interfacing applications.

Here is the link to the paper.