Similarity of fMRI Activity Patterns in Left Perirhinal Cortex Reflects Semantic Similarity between Words
نویسندگان
چکیده
منابع مشابه
Similarity of fMRI activity patterns in left perirhinal cortex reflects semantic similarity between words.
How verbal and nonverbal visuoperceptual input connects to semantic knowledge is a core question in visual and cognitive neuroscience, with significant clinical ramifications. In an event-related functional magnetic resonance imaging (fMRI) experiment we determined how cosine similarity between fMRI response patterns to concrete words and pictures reflects semantic clustering and semantic dista...
متن کاملLeft perirhinal cortex codes for similarity in meaning between written words: Comparison with auditory word input.
Left perirhinal cortex has been previously implicated in associative coding. According to a recent experiment, the similarity of perirhinal fMRI response patterns to written concrete words is higher for words which are more similar in their meaning. If left perirhinal cortex functions as an amodal semantic hub, one would predict that this semantic similarity effect would extend to the spoken mo...
متن کاملAsymmetry in Similarity Between Words
Traditionally, similarity is viewed as a symmetric relation between objects. Accordingly, if object A is similar to object B then object B is similar to object A. Further, if the amount of similarity between objects A and B is x, then it is traditional to think that the amount of similarity between objects B and A will also be x. For example, if it is said that two people are very similar, it d...
متن کاملViewpoint-Based Measurement of Semantic Similarity between Words
A method of measuring semantic similarity between words using a knowledge-base constructed automatically from machine-readable dictionaries is proposed. The method takes into consideration the fact that similarity changes depending on situation or context, which we calìview-point'. Evaluation shows the proposed method, although based on a simply structured knowledge-base, is superior to other c...
متن کاملComputing Semantic Similarity Measure between Words Using Web Search Engine
Semantic Similarity measures between words plays an important role in information retrieval, natural language processing and in various tasks on the web. In this paper, we have proposed a Modified Pattern Extraction Algorithm to compute the supervised semantic similarity measure between the words by combining both page count method and web snippets method. Four association measures are used to ...
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: Journal of Neuroscience
سال: 2013
ISSN: 0270-6474,1529-2401
DOI: 10.1523/jneurosci.1548-13.2013