Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells

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

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages6
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 → …

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Refining

Keywords

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

Cite this

@inproceedings{acda1b489c0d45f7ac407081288e0d92,
title = "Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells",
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.",
keywords = "receptive field, retinal ganglion cell, retina, vision system, natural images.",
author = "Philip Vance and Gautham Das and Dermot Kerr and SA Coleman and T.Martin McGinnity",
year = "2016",
month = "3",
day = "24",
language = "English",
isbn = "978-1-61208-462-6",
booktitle = "Unknown Host Publication",

}

Vance, P, Das, G, Kerr, D, Coleman, SA & McGinnity, TM 2016, Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells. in Unknown Host Publication. COGNITIVE 2016 : The Eighth International Conference on Advanced Cognitive Technologies and Applications, 24/03/16.

Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells. / Vance, Philip; Das, Gautham; Kerr, Dermot; Coleman, SA; McGinnity, T.Martin.

Unknown Host Publication. 2016.

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

TY - GEN

T1 - Refining Receptive Field Estimates using Natural Images for Retinal Ganglion Cells

AU - Vance, Philip

AU - Das, Gautham

AU - Kerr, Dermot

AU - Coleman, SA

AU - McGinnity, T.Martin

PY - 2016/3/24

Y1 - 2016/3/24

N2 - 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.

AB - 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.

KW - receptive field

KW - retinal ganglion cell

KW - retina

KW - vision system

KW - natural images.

M3 - Conference contribution

SN - 978-1-61208-462-6

BT - Unknown Host Publication

ER -