  In this work we present an in-memory computing platform based on coupled VO2
oscillators fabricated in a crossbar configuration on silicon. Compared to
existing platforms, the crossbar configuration promises significant
improvements in terms of area density and oscillation frequency. Further, the
crossbar devices exhibit low variability and extended reliability, hence,
enabling experiments on 4-coupled oscillator. We demonstrate the neuromorphic
computing capabilities using the phase relation of the oscillators. As a
application, we propose to replace digital filtering operation in a
convolutional neural network with oscillating circuits. The concept is tested
with a VGG13 architecture on the MNIST dataset, achieving performances of 95%
in the recognition task.
