Asynchronous processing in vision
نویسندگان
چکیده
منابع مشابه
Asynchronous processing in vision Color leads motion
It has been demonstrated that subjects do not report changes in color and direction of motion as being co-incidental when they occur synchronously. Instead, for the changes to be reported as being synchronous, changes in direction of motion must precede changes in color. To explain this observation, some researchers have suggested that the neural processing of color and motion is asynchronous. ...
متن کاملDeterminants of asynchronous processing in vision.
When a stimulus oscillates in both colour and direction of motion, changes in colour must lag behind those in direction if they are to be seen as concurrent. It has been argued that this lag is the consequence of asynchronous visual processing, with colour being processed more rapidly than motion. This proposal is contentious: it has been criticized on the basis that the time-course of cortical...
متن کاملFun with Asynchronous Vision Sensors and Processing
This paper provides a personal perspective on our group’s efforts in building event-based vision sensors, algorithms, and applications over the period 2002-2012. Some recent advances from other groups are also briefly described. When Mahowald and Mead built the first silicon retina with asynchronous digital output around 1992 [1], conventional CMOS active pixel sensors (APS) were still research...
متن کاملA Processing Element for a Digital Asynchronous/synchronous Vision Chip
This paper presents a new processing cell circuit, suitable for use in massively parallel fine-grain processor arrays, oriented towards image processing applications. The design, based on dynamic logic, is efficient for both local and global operations. In this paper we discuss design trade-offs and provide detailed description of the architecture. A cellular processor array based on the presen...
متن کاملAsynchronous Processing of Sparse Signals
Unlike synchronous processing, low–power asynchronous processing is more efficient in biomedical and sensing networks applications as it it is free from aliasing constraints and quantization error in the amplitude, it allows continuous–time processing and more importantly data is only acquired in significant parts of the signal. In this paper, we consider signal decomposers based on the asynchr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Current Biology
سال: 2001
ISSN: 0960-9822
DOI: 10.1016/s0960-9822(01)00156-7