作者: Joseph Terkel , Itay Berger , Dan Grinstein , Dan Shneor , Yuval Eshed
DOI: 10.1016/J.BEPROC.2021.104420
关键词: Segmentation 、 Context (language use) 、 Visual learning 、 Pattern recognition 、 Variation (game tree) 、 Signal 、 Structure extraction 、 Sensory system 、 Artificial intelligence 、 Set (psychology) 、 Computer science
摘要: Abstract The ability to extract reliable segments from the sensory data-stream is necessary for learning and creating a representation of environment. Here we focused on segmentation in visual associated with foraging. Fifty-one pigeons (Columba livia) were trained recognize two food-predicting signals, one presented against fixed background elements other varying backgrounds. divided into groups: 32 short intervals 3-5 minutes between sessions 19 long 60 minutes sessions. When tested signal plain background, 24 time preferred during training eight training. Nine ten Our findings indicate that possess an use variation-set structure segment data. To date, effect has been demonstrated only context human language acquisition. current suggest variation sets may be linked abilities too.