Projects per year
Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-inspired) photonics is attracting increasing interest, promising new, high-speed, and energy-efficient computing hardware for key applications in information processing and computer vision. Widely available photonic devices, such as vertical-cavity surface emitting lasers (VCSELs), offer highly desirable properties for photonic implementations of neuromorphic systems, such as high-speed and low energy operation, neuron-like dynamical responses, and ease of integration into chip-scale systems. Here, we experimentally demonstrate encoding of digital image data into continuous, rate-coded, up to GHz-speed optical spike trains with a VCSEL-based photonic spiking neuron. Moreover, our solution makes use of off-the-shelf fiber-optic components with operation at telecom wavelengths, therefore making the system compatible with current optical network and data center technologies. This VCSEL-based spiking encoder paves the way toward optical spike-based data processing and ultrafast neuromorphic vision systems.
- artificial intelligence
- neuromorphic photonics
- photonic devices
- vertical cavity surface emitting laser
FingerprintDive into the research topics of 'Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron'. Together they form a unique fingerprint.
1/01/21 → 31/12/25
Project: Research Fellowship
10/11/17 → 9/11/21
Data for: "Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron"