eprintid: 5248
rev_number: 66
eprint_status: archive
userid: 587
dir: disk0/00/00/52/48
datestamp: 2008-04-16 18:54:12
lastmod: 2021-09-19 22:33:51
status_changed: 2008-04-16 18:54:12
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Zhaoping, L
title: Theoretical understanding of the early visual processes by data compression and data selection
subjects: 8020
subjects: 10099
divisions: UCL
divisions: B04
divisions: C05
keywords: early vision, efficient coding, bottom up attentional selection, V1, retina, saliency map, LATERAL GENICULATE-NUCLEUS, CLASSICAL RECEPTIVE-FIELD, RETINAL GANGLION-CELLS, CONTEXTUAL INFLUENCES, INFORMATION CAPACITY, STRIATE CORTEX, NATURAL SCENES, EYE-MOVEMENTS, SALIENCY MAP, V1
abstract: Early vision is best understood in terms of two key information bottlenecks along the visual pathway - the optic nerve and, more severely, attention. Two effective strategies for sampling and representing visual inputs in the light of the bottlenecks are (1) data compression with minimum information loss and (2) data deletion. This paper reviews two lines of theoretical work which understand processes in retina and primary visual cortex (V I) in this framework. The first is an efficient coding principle which argues that early visual processes compress input into a more efficient form to transmit as much information as possible through channels of limited capacity. It can explain the properties of visual sampling and the nature of the receptive fields of retina and V1. It has also been argued to reveal the independent causes of the inputs. The second theoretical tack is the hypothesis that neural activities in VI represent the bottom up saliencies of visual inputs, such that information can be selected for, or discarded from, detailed or attentive processing. This theory links V1 physiology with pre-attentive visual selection behavior. By making experimentally testable predictions, the potentials and limitations of both sets of theories can be explored.
date: 2006-12
date_type: published
publisher: IOP PUBLISHING LTD
vfaculties: VENG
oa_status: green
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_batch
elements_source: Web of Science
elements_id: 92064
doi: 10.1080/09548980600931995
lyricists_name: Li, Zhaoping
lyricists_id: ZLIXX86
full_text_status: public
publication: NETWORK-COMP NEURAL
volume: 17
number: 4
pagerange: 301 - 334
refereed: TRUE
issn: 0954-898X
citation:        Zhaoping, L;      (2006)    Theoretical understanding of the early visual processes by data compression and data selection.                   NETWORK-COMP NEURAL , 17  (4)   301 - 334.    10.1080/09548980600931995 <https://doi.org/10.1080/09548980600931995>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/5248/1/5248.pdf