Evaluating rank-order code performance using a biologically-derived retinal model

Basabdatta Sen; Steve Furber

doi:10.1109/IJCNN.2009.5178842

Evaluating rank-order code performance using a biologically-derived retinal model

Basabdatta Sen, Steve Furber

Advanced Processor Technology

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a model of the primate retinal ganglion cell layout corresponding to the foveal-pit to test rankorder codes as a means of sensory information transmission in primate vision. We use the model for encoding images in rank-order. We observe that the model is functional only when the lateral inhibition technique is used to remove redundancy from the sampled data. Further, more than 80% of the input information can be decoded by the time only up to 10% of the ganglion cells of our model have fired their first spikes. © 2009 IEEE.

Original language	English
Title of host publication	Proceedings of the International Joint Conference on Neural Networks\|Proc Int Jt Conf Neural Networks
Place of Publication	USA
Publisher	IEEE
Pages	2867-2874
Number of pages	7
ISBN (Print)	9781424435531
DOIs	https://doi.org/10.1109/IJCNN.2009.5178842
Publication status	Published - 2009
Event	2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA Duration: 1 Jul 2009 → …

Conference

Conference	2009 International Joint Conference on Neural Networks, IJCNN 2009
City	Atlanta, GA
Period	1/07/09 → …

Keywords

biologically-derived retinal model
retinal ganglion cell layout
rank-order code
sensory information transmission

Access to Document

10.1109/IJCNN.2009.5178842

Cite this

@inproceedings{26cf0f6447d04dbb9fcded1bf1fd9186,

title = "Evaluating rank-order code performance using a biologically-derived retinal model",

abstract = "We propose a model of the primate retinal ganglion cell layout corresponding to the foveal-pit to test rankorder codes as a means of sensory information transmission in primate vision. We use the model for encoding images in rank-order. We observe that the model is functional only when the lateral inhibition technique is used to remove redundancy from the sampled data. Further, more than 80\% of the input information can be decoded by the time only up to 10\% of the ganglion cells of our model have fired their first spikes. {\textcopyright} 2009 IEEE.",

keywords = "biologically-derived retinal model, retinal ganglion cell layout, rank-order code, sensory information transmission",

author = "Basabdatta Sen and Steve Furber",

year = "2009",

doi = "10.1109/IJCNN.2009.5178842",

language = "English",

isbn = "9781424435531",

pages = "2867--2874",

booktitle = "Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks",

publisher = "IEEE",

address = "United States",

note = "2009 International Joint Conference on Neural Networks, IJCNN 2009 ; Conference date: 01-07-2009",

}

Sen, B & Furber, S 2009, Evaluating rank-order code performance using a biologically-derived retinal model. in Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks. IEEE, USA, pp. 2867-2874, 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, GA, 1/07/09. https://doi.org/10.1109/IJCNN.2009.5178842

TY - GEN

T1 - Evaluating rank-order code performance using a biologically-derived retinal model

AU - Sen, Basabdatta

AU - Furber, Steve

PY - 2009

Y1 - 2009

N2 - We propose a model of the primate retinal ganglion cell layout corresponding to the foveal-pit to test rankorder codes as a means of sensory information transmission in primate vision. We use the model for encoding images in rank-order. We observe that the model is functional only when the lateral inhibition technique is used to remove redundancy from the sampled data. Further, more than 80% of the input information can be decoded by the time only up to 10% of the ganglion cells of our model have fired their first spikes. © 2009 IEEE.

AB - We propose a model of the primate retinal ganglion cell layout corresponding to the foveal-pit to test rankorder codes as a means of sensory information transmission in primate vision. We use the model for encoding images in rank-order. We observe that the model is functional only when the lateral inhibition technique is used to remove redundancy from the sampled data. Further, more than 80% of the input information can be decoded by the time only up to 10% of the ganglion cells of our model have fired their first spikes. © 2009 IEEE.

KW - biologically-derived retinal model

KW - retinal ganglion cell layout

KW - rank-order code

KW - sensory information transmission

UR - https://www.scopus.com/pages/publications/70449409201

U2 - 10.1109/IJCNN.2009.5178842

DO - 10.1109/IJCNN.2009.5178842

M3 - Conference contribution

SN - 9781424435531

SP - 2867

EP - 2874

BT - Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks

PB - IEEE

CY - USA

T2 - 2009 International Joint Conference on Neural Networks, IJCNN 2009

Y2 - 1 July 2009

ER -

Evaluating rank-order code performance using a biologically-derived retinal model

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this