论文标题
用人脑进行计算成像
Computational imaging with the human brain
论文作者
论文摘要
脑部计算机界面（BCIS）正在实现一系列新的可能性和途径，以增强人类能力。在这里，我们提出BCI作为通往计算形式的途径，即计算成像，将大脑与外部硅处理融为一体。我们使用人类视觉系统与自适应计算成像方案结合使用人类视觉系统来展示隐藏场景的幽灵成像。这是通过投影模式“雕刻”技术实现的，该技术依赖于大脑的实时反馈来修改光投影仪的模式，从而实现了更有效和更高的分辨率成像。这种脑部计算机的连通性展示了一种增强的人类计算形式，该计算可能会在未来扩展人类视力的传感范围，并为研究人类感知的神经物理学提供了新的方法。例如，我们说明了一个简单的实验，其中图像重建质量受到感知光强度的同时意识处理和读数的影响。
Brain-computer interfaces (BCIs) are enabling a range of new possibilities and routes for augmenting human capability. Here, we propose BCIs as a route towards forms of computation, i.e. computational imaging, that blend the brain with external silicon processing. We demonstrate ghost imaging of a hidden scene using the human visual system that is combined with an adaptive computational imaging scheme. This is achieved through a projection pattern `carving' technique that relies on real-time feedback from the brain to modify patterns at the light projector, thus enabling more efficient and higher resolution imaging. This brain-computer connectivity demonstrates a form of augmented human computation that could in the future extend the sensing range of human vision and provide new approaches to the study of the neurophysics of human perception. As an example, we illustrate a simple experiment whereby image reconstruction quality is affected by simultaneous conscious processing and readout of the perceived light intensities.
