Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Downloads (Pure)

Abstract

Determining the structure and size of a retinal ganglion cell’s receptive field is critically important when formulating a computational model to describe the relationship between stimulus and response. This is commonly achieved using a process of reverse correlation through stimulation of the retinal ganglion cell with artificial stimuli (for example bars or gratings) in a controlled environment. It has been argued however, that artificial stimuli are generally not complex enough to encapsulate the full complexity of a visual scene’s stimuli and thus any model formulated under these conditions can only be considered to emulate a subset of the biological model. In this paper, we present an investigation into the use of natural images to refine the size of the receptive fields, where their initial location and shape have been pre-determined through reverse correlation. We present findings that show the use of natural images to determine the receptive field size provides a significant improvement over the standard approach for determining the receptive field.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherInternational Academy, Research, and Industry Association
Number of pages6
ISBN (Print)978-1-61208-462-6
Publication statusPublished - 24 Mar 2016
EventCOGNITIVE 2016 : The Eighth International Conference on Advanced Cognitive Technologies and Applications - Rome, Italy
Duration: 24 Mar 2016 → …

Conference

ConferenceCOGNITIVE 2016 : The Eighth International Conference on Advanced Cognitive Technologies and Applications
Period24/03/16 → …

Keywords

  • receptive field
  • retinal ganglion cell
  • retina
  • vision system
  • natural images.

Fingerprint Dive into the research topics of 'Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells'. Together they form a unique fingerprint.

  • Cite this