Long-term Object Discrimination at Several Viewpoints Develops Neural Substrates of View-invariant Object Recognition in Inferotemporal Cortex

被引:2
|
作者
Zhao, Chunzhen [1 ]
Wang, Ridey Hsiao [2 ]
Wang, Gang [1 ,3 ]
机构
[1] Weifang Med Univ, Lab Cognit Neurosci, Weifang 261053, Shandong, Peoples R China
[2] Qual Innovat Ctr Tochigi, Otawara, Tochigi, Japan
[3] Kagoshima Univ, Grad Sch Sci & Engn, Dept Informat Sci & Biomed Engn, Kagoshima 8900065, Japan
关键词
object recognition; view-invariance; discrimination; inferotemporal cortex; overtraining; INFERIOR TEMPORAL CORTEX; VISUAL SHAPE SELECTIVITY; REPRESENTATION; EXPERIENCE; MONKEYS; MEMORY; CATEGORIZATION; PERCEPTION; DEPENDENCE; NEURONS;
D O I
10.1016/j.neuroscience.2018.09.039
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Object recognition requires differentiation across different objects and generalization across views of the same object. We previously demonstrated that discrimination of object images at several views without any possibility of association was enough to achieve object recognition within a certain range of viewing angles and confirmed the response tolerance of monkey inferotemporal cells within a similar range of viewing angles. However, neither behavioral object recognition nor electrophysiological response tolerance was complete across views. In the present study, we extended such learning past performance saturation and recorded neuronal activity during the further learning period. When monkeys were trained to discriminate objects at several views, we found that they could discriminate the trained objects regardless of the eventual change in viewing angle, and confirmed a response tolerance at the population level over a large viewing angle range covering all the viewpoints experienced. At the cell population level, such overtraining leads to significantly higher neural response similarity for views of the same objects than for views of different objects regardless of the extent of viewing angle separation. These results suggest a possible method of view-invariant object recognition development. (C) 2018 IBRO. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:190 / 202
页数:13
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