Publications by Siegfried Karg

Coupled VO2 oscillators circuit as analog first layer filter in convolutional neural networks

Mihai Adrian Ionescu, Kirsten Emilie Moselund, Siegfried Karg, Elisabetta Corti

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 densit ...

2021

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Kirsten Emilie Moselund, Siegfried Karg

Oscillatory neural networks based on insulator to metal transition of VO2 switches are implemented for image recognition. The VO2 oscillators are fabricated on silicon in a CMOS compatible process.A fullyconnected network of coupled oscillators is investig ...

Institute of Electrical and Electronics Engineers2020

Scaled resistively-coupled VO2 oscillators for neuromorphic computing

Mihai Adrian Ionescu, Kirsten Emilie Moselund, Siegfried Karg, Elisabetta Corti

2020

VO2 oscillators coupling for Neuromorphic Computation

Mihai Adrian Ionescu, Igor Stolichnov, Kirsten Emilie Moselund, Siegfried Karg, Elisabetta Corti

New computation schemes inspired by biological processes can outperform standard von-Neumann architectures in dealing with complex and unstructured tasks. As a new approach, systems of frequency-locked, coupled oscillators are investigated using the phase ...

IEEE2019

Resistive Coupled VO2 Oscillators for Image Recognition

Mihai Adrian Ionescu, Igor Stolichnov, Kirsten Emilie Moselund, Siegfried Karg, Elisabetta Corti

Oscillator networks are known for their interesting collective behavior such as frequency locking, phase locking, and synchronization. Compared to other artificial neural network implementations, timing rather than amplitude information is used for computa ...

IEEE2019