用FPGA实现可调光暗的类脑视网膜，支持高速低功耗成像
Neuromorphic Retina: An FPGA-based Emulator
- 在FPGA上复现带中心-周围结构的生物类视网膜模型
- 支持128×128像素、200fps帧率，功耗与面积显著降低
- 适合视觉假体与低功耗神经形态计算应用
实现精确的视网膜模型是一项挑战性任务，尤其在视觉假体和设备开发中。尽管已有多种人工视网膜方案，仍需追求更真实的模型。本文在FPGA上实现了类脑视网膜模型，其关键特性是强大的亮度与对比度自适应能力，能准确模拟生物视网膜对光照变化的敏感性。通过最简方式实现瞬时与持续型细胞响应。所提出的生物启发式数字视网膜，包含中心-周围感受野结构，具备可重构性，支持128×128像素图像，帧率达200fps。该实现仅消耗1720个逻辑单元，约3.7k个查找表（LUTs）与触发器（FFs），提供高性能、低功耗、小面积解决方案，为具有增强信息处理能力的生物合理视网膜假体发展迈出重要一步。
原文摘要 · Abstract (English)
Implementing accurate models of the retina is a challenging task, particularly in the context of creating visual prosthetics and devices. Notwithstanding the presence of diverse artificial renditions of the retina, the imperative task persists to pursue a more realistic model. In this work, we are emulating a neuromorphic retina model on an FPGA. The key feature of this model is its powerful adaptation to luminance and contrast, which allows it to accurately emulate the sensitivity of the biological retina to changes in light levels. Phasic and tonic cells are realizable in the retina in the simplest way possible. Our FPGA implementation of the proposed biologically inspired digital retina, incorporating a receptive field with a center-surround structure, is reconfigurable and can support 128*128 pixel images at a frame rate of 200fps. It consumes 1720 slices, approximately 3.7k Look-Up Tables (LUTs), and Flip-Flops (FFs) on the FPGA. This implementation provides a high-performance, low-power, and small-area solution and could be a significant step forward in the development of biologically plausible retinal prostheses with enhanced information processing capabilities
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