Rapid　development　of　modern　science　and　technology　has　prompted　explosive　growth　of　data　volumes,　especially　the　visual　information,　which　brings　heavy　pressure　on　information　processing　and　computation.　The　classic　technical　route　to　improve　the　computation　power　of　image　processing　units　by　reducing　the　critical　dimension　of　the　transistors　according　to　Moore＇s　law　gradually　fails　due　to　the　physical　limit　of　transistors’　footprint　and　the　separated　architectures.　Inspired　by　human　vision　systems,　retina-like　photodetectors　that　mimic　their　spatial　and　temporal　properties　have　attracted　widespread　attention.　These　developed　architectures　enable　the　early　data　processing　in-　or　near-sensor,　significantly　reducing　the　computing　power　required　in　the　back　end.　Herein,　a　comprehensive　review　on　bioinspired　photodetectors　that　possess　the　spatial　and　temporal　properties　of　biological　vision　is　provided.　The　properties　of　retina　are　summarized　and　presented　first.　Basic　structure　design　and　operation　mechanism　of　those　photodetectors　with　spatial　properties　of　retina　(including　the　distribution　of　receptive　fields　and　the　shape　of　the　hemisphere)　and　temporal　properties　of　retina　(including　the　memory　properties　enabled　learning　and　the　light　intensity　adaptation)　are　reviewed　thoroughly.　Eventually,　challenges　and　future　perspectives　are　commented　and　provided　to　facilitate　the　rapid　development　of　in-　or　near-sensor　computing　photodetectors.　©　2023　Wiley-VCH　GmbH.