Artificial Retina Using A Hybrid Neural Network With Spatial Transform Capability

التفاصيل البيبلوغرافية
العنوان: Artificial Retina Using A Hybrid Neural Network With Spatial Transform Capability
المؤلفون: Wood, Richard, McGlashan, Alexander, Moon, C. B., Kim, W. Y.
سنة النشر: 2018
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Image and Video Processing
الوصف: This paper covers the design and programming of a hybrid (digital/analog) neural network to function as an artificial retina with the ability to perform a spatial discrete cosine transform. We describe the structure of the circuit, which uses an analog cell that is interlinked using a programmable digital array. The paper is broken into three main parts. First, we present the results of a Matlab simulation. Then we show the circuit simulation in Spice. This is followed by a demonstration of the practical device. This system has intentionally separated components with the specialty analog circuits being separated from the readily available digital field programmable gate array (FPGA) components. Further development includes the use of rapid manufacture-able organic electronics used for the analog components. The planned uses for this platform include crowd development of software that uses the underlying pulse based processing. The development package will include simulators in the form of Matlab and Spice type software platforms.
Comment: 16 pages, 20 figures
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/1811.10126
رقم الأكسشن: edsarx.1811.10126
قاعدة البيانات: arXiv