标题： FlEye相机：采样自然场景和运动的联合分布 显示英文标题

标题： The FlEye camera: Sampling the joint distribution of natural scenes and motion

摘要： 为了有效利用有限的物理资源，大脑必须将其编码和计算策略与输入信号的统计结构相匹配。 这些原理的一个有吸引力的测试场所是果蝇视觉系统中的运动估计问题：我们了解复眼的光学特性，对来自视网膜的输入信号和噪声有定量描述，并且可以记录编码不同速度分量的输出神经元。 此外，最近的研究提供了中间神经回路的几乎完整的连接图谱。 缺失的是对果蝇在自然环境中遇到的视觉信号和运动的表征。 我们通过开发一种专门的相机来直接解决这个问题，这种相机匹配果蝇眼睛的高时间分辨率、光学特性和光谱灵敏度；惯性运动传感器提供关于世界中旋转和平移的真实信息。 我们描述了这种FlEye相机的设计、构建和性能特征。 为了说明这种仪器带来的机会，我们使用电影和运动的数据来构建最优的局部运动估计器，这些估计器可以与果蝇运动敏感神经元的反应进行比较。 显示英文摘要

摘要： To make efficient use of limited physical resources, the brain must match its coding and computational strategies to the statistical structure of input signals. An attractive testing ground for these principles is the problem of motion estimation in the fly visual system: we understand the optics of the compound eye, have a quantitative description of input signals and noise from the retina, and can record from output neurons that encode estimates of different velocity components. Furthermore, recent work provides a nearly complete wiring diagram of the intervening circuitry. What is missing is a characterization of the visual signals and motions that flies encounter in a natural context. We attack this directly with the development of a specialized camera that matches the high temporal resolution, optical properties, and spectral sensitivity of the fly's eye; inertial motion sensors provide ground truth about rotations and translations through the world. We describe the design, construction, and performance characteristics of this FlEye camera. To illustrate the opportunities created by this instrument we use data on movies and motion to construct optimal local motion estimators that can be compared with the responses of the fly's motion sensitive neurons.