6533b830fe1ef96bd12966de
RESEARCH PRODUCT
Frequency spike encoding using Gabor-like receptive fields
Juan F. Guerrero-martinezJose V. Frances-villoraTaras IakymchukManuel Bataller-mompeánAlfredo Rosado-muñozsubject
Spiking neural networkSignal processingReceptive fieldbusiness.industryComputer scienceEncoding (memory)Spike (software development)Image processingComputer visionArtificial intelligencebusinessEdge detectionField (computer science)description
Abstract Spiking Neural Networks (SNN) are a popular field of study. For a proper development of SNN algorithms and applications, special encoding methods are required. Signal encoding is the first step since signals need to be converted into spike trains as the primary input to an SNN. We present an efficient frequency encoding system using receptive fields. The proposed encoding is versatile and it can provide simple image transforms like edge detection, spot detection or removal, or Gabor-like filtering. The proposed encoding can be used in many application areas as image processing and signal processing for detection and classification.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 | IFAC Proceedings Volumes |