Neuromorphic rate-coded representation of digital image data with a VCSEL-neuron

Matej Hejda, Joshua Robertson, Julian Bueno, Juan Alanis, Antonio Hurtado

Research output: Contribution to conferencePosterpeer-review


Neuromorphic photonic approaches, focusing on implementation of brain-inspired hardware, have recently gained significant interest. Among those, vertical cavity surface emitting lasers (VCSELs) offer multiple desirable properties while exhibiting fast spiking responses. We utilize their functionality to experimentally realize temporal spike-based encoding of pixel intensity values from digital images. The image data is represented as continuous, rate-coded optical spike trains. Reconstruction from the spike rates shows very good agreement with the source images.
Original languageEnglish
Publication statusPublished - 4 Dec 2020
EventEuropean Semiconductor Laser Workshop - Virtual, Eindhoven, Netherlands
Duration: 4 Dec 20205 Dec 2020
Conference number: 20


ConferenceEuropean Semiconductor Laser Workshop
Abbreviated titleESLW


  • neuromorphic
  • rate-coded representation
  • digital image data
  • VCSEL-neuron


Dive into the research topics of 'Neuromorphic rate-coded representation of digital image data with a VCSEL-neuron'. Together they form a unique fingerprint.

Cite this