Selective attention in predatory insects

捕食性昆虫的选择性注意

• 批准号: 2411295
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2411295
• 关键词: Selective; attention; predatory; insects

Theme: World-Class Underpinning BioscienceThe PhD project would be placed in a lab that investigates the neural basis of target tracking and interception in predatory invertebrates using a multilevel approach (behaviour, microscopy and electrophysiology). The project itself will specifically investigate selective attention in insects that use visually targeted predation. The focus would be to understand the conversion of visual sensorimotor information that underlies predation in environments with competing visual stimuli. Investigation of neuronal activity could be achieved through either electrophysiological experiments or imaging of cells pre-loaded with calcium or voltage indicators. Electrophysiological experiments can produce large amounts of data in a short period of time. Raw data will require automatised spike sorting in response to visual stimulation and, in some instances, principal component analysis and cluster analysis. Similarly, neuronal activation reported by calcium or voltage indicators will need to be measured in an automatic or semi-automatic fashion, by extracting luminance values from raw images. This would produce similarly large datasets that will need substantial computational methods to be analysed.

主题：世界一流的基础生物科学博士项目将在一个实验室进行，该实验室将使用多层次方法（行为，显微镜和电生理学）研究掠食性无脊椎动物目标跟踪和拦截的神经基础。该项目本身将专门研究昆虫的选择性注意力，这些昆虫使用视觉目标捕食。重点将是理解视觉感觉运动信息的转换，这种信息是在具有竞争性视觉刺激的环境中捕食的基础。神经元活动的研究可以通过电生理实验或预先加载钙或电压指示器的细胞成像来实现。电生理实验可以在短时间内产生大量的数据。原始数据将需要根据视觉刺激进行自动尖峰分类，在某些情况下，还需要主成分分析和聚类分析。同样，通过钙或电压指示器报告的神经元激活将需要通过从原始图像中提取亮度值，以自动或半自动的方式进行测量。这将产生类似的大型数据集，需要大量的计算方法来分析。

项目成果

Active Vision Strategies in Predation

捕食中的主动视觉策略

• DOI: 10.17863/cam.78089
• 发表时间: 2021
• 作者: Rossoni S