TITLE

Information Infrastructure for Cooperative Research in Neuroscience

AUTHOR(S)
Durka, P. J.; Blinowski, G. J.; Klekowicz, H.; Malinowska, U.; Kuś, R.; Blinowska, K. J.
PUB. DATE
January 2009
SOURCE
Computational Intelligence & Neuroscience;2009, Special section p1
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The paper describes a framework for efficient sharing of knowledge between research groups, which have been working for several years without flaws. The obstacles in cooperation are connected primarily with the lack of platforms for effective exchange of experimental data, models, and algorithms. The solution to these problems is proposed by construction of the platform (EEG.pl) with the semantic aware search scheme between portals. The above approach implanted in the international cooperative projects like NEUROMATH may bring the significant progress in designing efficient methods for neuroscience research.
ACCESSION #
47715137

 

Related Articles

  • Categorical approach for making model of data model. MIAO De-cheng; XI Jian-qing; SU Jin-dian // Application Research of Computers / Jisuanji Yingyong Yanjiu;Sep2013, Vol. 30 Issue 9, p2744 

    To satisfy the application demands of modeling for complex semantics of data model, and to overcome the drawbacks of the existing modeling methods of data model based on category theory both in theoretical research and engineering practice, this paper made a sketch data model. The model...

  • Recognizing Sights, Smells, and Sounds with Gnostic Fields. Kanan, Christopher // PLoS ONE;Jan2013, Vol. 8 Issue 1, Special section p1 

    Mammals rely on vision, audition, and olfaction to remotely sense stimuli in their environment. Determining how the mammalian brain uses this sensory information to recognize objects has been one of the major goals of psychology and neuroscience. Likewise, researchers in computer vision, machine...

  • AN ATTEMPT TO FORMALIZE WORD SENSE DISAMBIGUATION: MAXIMIZING EFFICIENCY BY MINIMIZING COMPUTATIONAL COSTS. CANTOS, PASCUAL; SÁNCHEZ, AQUILINO; ALMELA, MOISÉS // Revista Española de Lingüística Aplicada (RESLA (Revista Espa;2009, Vol. 22, p77 

    This paper presents an algorithm based on collocational data for word sense disambiguation (WSD). The aim of this algorithm is to maximize efficiency by minimizing (1) computational costs and (2) linguistic tagging/annotation. The formalization of our WSD algorithm is based on discriminant...

  • МАТЕМАТИЧНЕ ЗАБЕЗПЕЧЕННЯ ВІДОБРАЖЕННЯ МОДЕЛЕЙ ПОНЯТЬ Малярчук, В. О.; Кононюк, А. Ю.; Малінкін, I. В. // Science-Based Technologies;2014, Vol. 22 Issue 2, p172 

    The structural diagram of the universal software, of the creation mathematical models of the concepts produced in raster devices, was provided. The software oriented on documentation release about the created mathematical model of concept that is a set of textual and graphic elements is...

  • A progress report on the inhibitory account of retrieval-induced forgetting. Storm, Benjamin; Levy, Benjamin // Memory & Cognition;Aug2012, Vol. 40 Issue 6, p827 

    Remembering and forgetting reflect fundamentally interdependent processes in human memory (Bjork, ). This interdependency is particularly apparent in research on retrieval-induced forgetting, which has shown that retrieving a subset of information can cause the forgetting of other information...

  • Elements of thought. Barras, Colin // New Scientist;2/9/2013, Vol. 217 Issue 2903, p35 

    The article presents a brief introduction to a series of articles on research by neuroscientists to develop a mathematical framework for the human brain, with topics including equations to describe the structure of the brain, human thoughts and feelings, and consciousness.

  • From baconian to popperian neuroscience.  // Neural Systems & Circuits;2012, Vol. 2 Issue 1, p2 

    In this article the author presents his opinion on the development of neuroscience and focuses on the fact that a significant proportion of the science in neuroscience has a more baconian than popperian character. He emphasized on mathematical models for the measurements of the brain that make...

  • Computational Neuroscience. Jinde Cao; Qingshan Liu; Arik, Sabri; Jianlong Qiu; Haijun Jiang; Elaiw, Ahmed // Computational & Mathematical Methods in Medicine;Jan2014, p1 

    No abstract available.

  • Statistical semantics for enhancing document clustering. Farahat, Ahmed; Kamel, Mohamed // Knowledge & Information Systems;Aug2011, Vol. 28 Issue 2, p365 

    Document clustering algorithms usually use vector space model (VSM) as their underlying model for document representation. VSM assumes that terms are independent and accordingly ignores any semantic relations between them. This results in mapping documents to a space where the proximity between...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics