You are in : Home » Results & submissions » Select UOA » 11 - Computer Science and Informatics » View submission: University of Manchester » Outputs » Detail

Output details

11 - Computer Science and Informatics

University of Manchester

Return to search Previous output Next output

Output 44 of 179 in the submission

Article title

Biologically Inspired Means for Rank-Order Encoding Images: A Quantitative Analysis

Type

D - Journal article

DOI

10.1109/TNN.2010.2048339

Title of journal

IEEE Transactions on Neural Networks

Article number

Volume number

Issue number

First page of article

1087

ISSN of journal

1045-9227

Year of publication

2010

URL

Number of additional authors

Additional information

<01> This paper presents a model of how images falling on the retina may be encoded efficiently in the pattern of spikes transmitted by the retinal ganglion cells through the optic nerve. It is significant because it offers new insights into how mutual inhibition is employed to minimise information redundancy in the output from the highly non-orthogonal set of biological retinal image filters, applying an objective quantification of image quality to evaluate the results.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract