New paper in Physical Review Applied selected for the Physics-Inspired Computing Collection

An interesting paper entitled Dynamics of neural motifs realized with a minimal memristive neurosynaptic unit has been selected to contribuate to the Pysical Review Appield collection titled Physics-Inspired Computing.

Dynamics of neural motifs realized with a minimal memristive neurosynaptic unit
Jiaming Wu, Adrien d’Hollande , Haoran Du, and Marcelo Rozenberg
Phys Rev Applied 23, 034030 (2025).

Implementing artificial neural networks in electronic hardware has been pursued for decades, but suffers drawbacks such as device mismatch and circuit complexity, hence requiring sophisticated fabrication facilities. This study exploits the concept of memristors to implement a neuromorphic circuit of extreme simplicity. Both the neuron and synaptic circuits quantitatively realize conventional mathematical models of theoretical neuroscience and are implemented with off-the-shelf analog electronic components.
This hardware model provides an affordable and easily available platform to implement spiking neural networks for basic research and practical applications.