场景背景对视觉对象识别的影响:比较人类,子和计算模型.
Sara Djambazovska1,2, Anaa Zafer1, Hamidreza Ramezanpour1
1York University, Department of Biology and Centre for Vision Research, Toronto, Canada.
bioRxiv : the preprint server for biology
|June 10, 2024
概括
rhesus 子表现出类似于人类的对象识别能力. 然而,无论是子大脑活动还是人工智能模型都不能完全解释这种共享的视觉处理,揭示了理解上下文集成的知识差距.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算机视觉 计算机视觉
背景情况:
- 自然视觉包括在复杂的环境中识别物体.
- 了解大脑如何整合上下文信息来识别对象至关重要.
- rhesus 被研究为人类视觉处理的潜在动物模型.
研究的目的:
- 评估 rhesus macaques 是否模拟人类的环境驱动对象识别.
- 量化视觉对象识别能力在不同的上下文线索.
- 将行为和神经数据与人工神经网络模型进行比较.
主要方法:
- 行为实验测量子对象识别与操纵的环境.
- 在子的下 (IT) 皮层记录神经反应.
- 评估用于上下文驱动对象识别的人工神经网络模型.
主要成果:
- 子表现出与人类相似的上下文依赖物体识别模式.
- 信息技术皮层中的神经反应部分解释了人猿行为对应.
- 当前的人工神经网络模型也只提供了部分解释.
结论:
- 人类和子视觉对象处理在上下文方面存在显著的对齐.
- 现有的神经数据和计算模型不能完全解释这种跨物种相似性.
- 在解释视觉中上下文集成的神经机制方面,仍然存在基本的知识差距.
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