Practically trivial parallel data processing gives neuroscience laboratories easy access to advanced analysis methods
نویسندگان
چکیده
منابع مشابه
Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases
Today, a great deal of data is generated in the medical field. Acquiring useful knowledge from this raw data requires data processing and detection of meaningful patterns and this objective can be achieved through data mining. Using data mining to diagnose and prognose heart diseases has become one of the areas of interest for researchers in recent years. In this study, the literature on the ap...
متن کاملAdvanced Methods of Performance Data Processing and Analysis
The analysis of program performance on massively parallel (MPP) systems is a non-trivial task which is increasingly performed using visualization tools. Conventional processing, analysis, and display methods typically do not adequately support the evaluation of program performance on large-scale parallel systems. These methods can be limited by the sheer volume of performance data and often lac...
متن کاملSCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, processing is typically done on large clusters of shared-nothing commodity machines. It is imperative to develop a programming model that hides the complexity of the underlying system but provides flexibility by allowing...
متن کاملPractically Applicable Formal Methods
Formal methods are considered to be highly expensive. Therefore, they are currently applied almost only in high risk software development. In this paper, we show that formal techniques can be also efficiently used in standard large-scale applications. We focus on the generation of specifications which state the termination condition of for loops in Java code (expressed as so called Java Modelin...
متن کاملSignal Processing and Statistical Challenges in Neuroscience Data Analysis
Neuroscience, like many other areas of science, is experiencing a data explosion, propelled both by improvements in existing recording technologies, such as electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), and by the advent of new and relatively new measurement and recording technologies, such as mu...
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: Frontiers in Neuroscience
سال: 2010
ISSN: 1662-453X
DOI: 10.3389/conf.fnins.2010.13.00110