Retrieving Binary Answers Using Whole-Brain Activity Pattern Classification
نویسندگان
چکیده
منابع مشابه
Retrieving Binary Answers Using Whole-Brain Activity Pattern Classification
Multivariate pattern analysis (MVPA) has been successfully employed to advance our understanding of where and how information regarding different mental states is represented in the human brain, bringing new insights into how these states come to fruition, and providing a promising complement to the mass-univariate approach. Here, we employed MVPA to classify whole-brain activity patterns occur...
متن کاملRotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filters, is one of state-of-the-art rotation invariant texture classification methods. However, this method has two limitations. First, it require a training stage to build a texton library, thus the accuracy depends on t...
متن کاملTexture Classification using Local Binary Pattern for Noise Images
The beneficial characteristics of Local Binary Pattern can be conserved by computing simple approach COMPLETE LBP (CLBP). The proposed technique called Binary Rotation Invariance and Noise Tolerant texture classification is mainly based this CLBP approach. This BRINT not just exhibits better execution than various late cutting edge LBP variations under ordinary conditions, but also performs sig...
متن کاملRepresenting and Retrieving Regions Using Binary Partition Trees
This paper discusses the interest of Binary Partition Trees for image and region representation in the context of indexing and similarity based retrieval. Binary Partition Trees concentrate in a compact and structured way the set of regions that compose an image. Since the tree is able to represent images in a multiresolution way, only simple descriptors need to be attached to the nodes. Moreov...
متن کاملClassification of Whole Brain fMRI Activation
Functional magnetic resonance imaging (fMRI) is an imaging technology which is primarily used to perform brain activation studies by measuring neural activity in the brain. It is an interesting question whether patterns of activity in the brain as measured by fMRI can be used to predict the cognitive state of a subject. Researchers successfully employed a discriminative approach by training cla...
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 Human Neuroscience
سال: 2015
ISSN: 1662-5161
DOI: 10.3389/fnhum.2015.00689