Efficient Universal Computing Architectures for Decoding Neural Activity
نویسندگان
چکیده
منابع مشابه
Efficient Universal Computing Architectures for Decoding Neural Activity
The ability to decode neural activity into meaningful control signals for prosthetic devices is critical to the development of clinically useful brain- machine interfaces (BMIs). Such systems require input from tens to hundreds of brain-implanted recording electrodes in order to deliver robust and accurate performance; in serving that primary function they should also minimize power dissipation...
متن کاملEnergy Efficient Computing ArchItectures
The CAIRN project-team researches new architectures, algorithms and design methods for flexible, secure, fault-tolerant, and energy-efficient domain-specific system-on-chip (SOC). As performance and energy-efficiency requirements of SOCs, especially in the context of multi-core architectures, are continuously increasing, it becomes difficult for computing architectures to rely only on programma...
متن کاملUniversal Decoding for Noisy Channels
A universal decoder for a parametric family of channels is a decoder that for any channel in the family attains the same random coding error exponent as the best decoder for that particular channel. The existence and structure of such decoders is demonstrated under relatively mild conditions of continuity of the channel law with respect to the parameter indexing the family. It is further shown ...
متن کاملArchitectures for Activity Recognition and Context-Aware Computing
SUMMER 2015 3 The changes brought about by the ubiquity of smartphones and social media are just a small foretaste of changes to come. Soon people will be carrying devices and working in environments that understand not only our personal declarative and demographic facts (information stored in datebooks, calendars, and social media) but also have a deep understanding of the context and intent o...
متن کاملEfficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
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: PLoS ONE
سال: 2012
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0042492