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A Comparison of Functional Networks Derived From Representational Similarity, Functional Connectivity, and Univariate Analyses

Ineke Pillet, Hans Op de Beeck, Haemy Lee Masson
2020 Frontiers in Neuroscience  
Univariate analysis (UNIVAR) and functional connectivity analysis (FCA) are two other popular methods to identify functional networks.  ...  The invention of representational similarity analysis [RSA, following multi-voxel pattern analysis (MVPA)] has allowed cognitive neuroscientists to identify the representational structure of multiple brain  ...  in a two-dimensional space that shows the distance between each pair of ROIs based on how dissimilar these ROIs are in terms of their activation, representation, and connectivity respectively.  ... 
doi:10.3389/fnins.2019.01348 pmid:31969801 pmcid:PMC6960203 fatcat:vyflqg6conhjfdwbqtq7i2tleu

New Taxonomy of Classification Methods Based on Formal Concepts Analysis

Marwa Trabelsi, Nida Meddouri, Mondher Maddouri
2016 European Conference on Artificial Intelligence  
In this paper we present a new taxonomy of classification methods based on Formal Concept Analysis.  ...  Various approaches have been proposed in supervised classification of data, among them approaches based on Formal Concept Analysis.  ...  A formal context can be illustrated by a two-dimensional table where objects are presented by lines and attributes are presented by columns.  ... 
dblp:conf/ecai/TrabelsiMM16 fatcat:pwbk3fhb7vaf3bh22ffttlsc5a

Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval

Ch. Aswani Kumar, M. Radvansky, J. Annapurna
2012 Cybernetics and Information Technologies  
However, both LSI and FCA use the data represented in the form of matrices.  ...  The objective of this paper is to systematically analyze VSM, LSI and FCA for the task of IR using standard and real life datasets.  ...  The other FCA based conceptual knowledge processing tools include Docco, ToscanaJ, Tockit, Score.  ... 
doi:10.2478/cait-2012-0003 fatcat:xg4frfdvafdsrnkdu7hq2op4be

Inter-subject alignment of human cortical anatomy using functional connectivity

Bryan R. Conroy, Benjamin D. Singer, J. Swaroop Guntupalli, Peter J. Ramadge, James V. Haxby
2013 NeuroImage  
The standard approach to this problem matches anatomical features of the brain, such as major anatomical landmarks or cortical curvature.  ...  We validate our technique extensively on real fMRI experimental data and compare our method to two state-of-the-art inter-subject registration algorithms.  ...  To this end, we developed a new algorithm, functional connectivity alignment (FCA), which matches intra-subject patterns of cortical functional connectivity.  ... 
doi:10.1016/j.neuroimage.2013.05.009 pmid:23685161 pmcid:PMC3729877 fatcat:y3nkzcswnbfn5aqwb64jz7k2fa

Fuzzy cluster analysis of high-field functional MRI data

Christian Windischberger, Markus Barth, Claus Lamm, Lee Schroeder, Herbert Bauer, Ruben C. Gur, Ewald Moser
2003 Artificial Intelligence in Medicine  
Barth, Fuzzy cluster analysis of functional : S 0 9 3 3 -3 6 5 7 ( 0 2 ) 0 0 0 7 2 -6 mental rotation of three-dimensional cubes.  ...  used model-based correlation analysis (CA) approach.  ...  Each task item consisted of two three-dimensional views of cubes [20] with simple geometric patterns on their sides (lines, triangle, arrows; see Fig. 2a ).  ... 
doi:10.1016/s0933-3657(02)00072-6 pmid:14656487 fatcat:hec4owobsveodnsf2b5kjleioa

A NEW TECHNIQUE FOR ORDERING ASYMMETRICAL THREE-DIMENSIONAL DATA SETS IN ECOLOGY

Sandrine Pavoine, Jacques Blondel, Michel Baguette, Daniel Chessel
2007 Ecology  
B pattern.  ...  We approach this kind of data by the comparison of patterns, that is to say by analyzing first the effect of factor B on the species-factor A pattern, and second the effect of factor A on the species-factor  ...  It consists of stacked two-dimensional data matrices as a function of a third coordinate.  ... 
doi:10.1890/05-1806 pmid:17479768 fatcat:gnu72suejvdh3hbjhvz5tmdali

Functional clustering algorithm for the analysis of dynamic network data

S. Feldt, J. Waddell, V. L. Hetrick, J. D. Berke, M. Żochowski
2009 Physical Review E  
In the experimental data, we observe state-dependent clustering patterns consistent with known neurophysiological processes involved in memory consolidation.  ...  The FCA dynamically groups pairs of spike trains based on a chosen similarity metric, forming progressively more complex spike patterns.  ...  CONCLUSIONS In conclusion, we have developed a functional clustering algorithm to perform grouping based on relative activity patterns of discrete event data sets.  ... 
doi:10.1103/physreve.79.056104 pmid:19518518 pmcid:PMC2814878 fatcat:ojhqclde6fbonen6zdj2qo7txy

Comparing the functional structure of neural networks from representational similarity analysis with those from functional connectivity and univariate analyses [article]

Ineke Pillet, Hans Op de Beeck, Haemy Lee Masson
2018 bioRxiv   pre-print
Univariate analysis (UNIVAR) and functional connectivity analysis (FCA) are two other popular methods to identify the functional structure of brain networks.  ...  AbstractThe invention of representational similarity analysis (RSA, following multi-voxel pattern analysis (MVPA)) has allowed cognitive neuroscientists to identify the representational structure of multiple  ...  on RSA results), are activated to a similar level (based on 347 UNIVAR results) and are functionally linked to each other (based on FCA results).  ... 
doi:10.1101/487199 fatcat:rgkhpfgyend2djtypdarursmoa

Formal Concept Analysis in knowledge processing: A survey on models and techniques

Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene
2013 Expert systems with applications  
We also give an overview of the literature on FCA extensions such as pattern structures, logical concept analysis, relational concept analysis, power context families, fuzzy FCA, rough FCA, temporal and  ...  This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA.  ...  Acknowledgements We are grateful to Paul Elzinga for his help in processing the papers and generating the context files on which the lattices are based.  ... 
doi:10.1016/j.eswa.2013.05.007 fatcat:july7aafprcjrbaely2swksvhi

Using pattern structures to support information retrieval with Formal Concept Analysis

Víctor Codocedo, Ioanna Lykourentzou, Hernán Astudillo, Amedeo Napoli
2013 International Joint Conference on Artificial Intelligence  
In this paper we introduce a novel approach to information retrieval (IR) based on Formal Concept Analysis (FCA).  ...  We propose using pattern structures, an extension of FCA on multi-valued and numerical data, to address the above.  ...  Our approach is based on the pattern structures framework, an extension of FCA to deal with complex data [7] .  ... 
dblp:conf/ijcai/CodocedoLAN13 fatcat:x746x5sssza6fp4x5vh4ty4xki

Cellular Automata and their Applications: A Review

Vasantha Murali Krishna, Sangita Mishra, Jagadish Gurrala
2022 International Journal of Computer Applications  
In this paper author reports a detail study on the convergence of the one-dimensional two-state 3 neighborhood asynchronous cellular automata (ACA) under null theory.  ...  The framework studied was mostly based on one and two dimensional infinite grids though higher dimensions were also considered.  ...  The FCA based pattern classifier has established an excellent classification accuracy as an efficient and cost effective solution for the pattern classification problems.  ... 
doi:10.5120/ijca2022922010 fatcat:6hb7vjrjobeprokgozxjeu227e

Using Polyadic Formal Contexts for Information Extraction from Natural Language Texts

Mikhail Bogatyrev, Olga Mitrofanova
2020 International Conference "Internet and Modern Society"  
Using semantic role labeling, a conceptual graph is created for each sentence of the text, and a specific scheme of abstract meaning representation of the sentence is developed based on its elements.  ...  Practical applications of polyadic formal contexts in FCA are limited to two-and three-dimensional formal contexts.  ...  If the result of a two-element query to associations is presented as a cross-table, it is interpreted as a two-dimensional formal context.  ... 
dblp:conf/ims2/BogatyrevM20 fatcat:3gxyhev73rg25a7ptwenvjvnb4

Channel assignment schemes for cellular mobile telecommunication systems: a comprehensive survey

I. Katzela, M. Naghshineh
1996 IEEE personal communications  
Blocking probability NN, MD, NN + 1, FCA Forced call termination MD, NN + 1, NN, FCA Channel changing MD, NN + 1, FCA, NN Carried traffic FCA, NN + 1, NN, MD Category Results  ...  We also investigate these channel allocation schemes based on other factors such as distributed/centralized control and adaptability to traffic conditions.  ...  in a two-dimensional system because an order of service is difficult to recognize in a twodimensional system.  ... 
doi:10.1109/98.511762 fatcat:wq4hrzkpgve3bo7xm7rnjw3izi

Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey

I. Katzela, M. Naghshineh
2000 IEEE Communications Surveys and Tutorials  
Blocking probability NN, MD, NN + 1, FCA Forced call termination MD, NN + 1, NN, FCA Channel changing MD, NN + 1, FCA, NN Carried traffic FCA, NN + 1, NN, MD Category Results  ...  We also investigate these channel allocation schemes based on other factors such as distributed/centralized control and adaptability to traffic conditions.  ...  in a two-dimensional system because an order of service is difficult to recognize in a twodimensional system.  ... 
doi:10.1109/comst.2000.5340800 fatcat:dd6gsumteba43fvd7cs5xn5woy

Siamese tracking combing frequency channel attention with adaptive template

Haibo Pang, Meiqin Xie, Chengming Liu, Rongqi Ma, Linxuan Han
2021 IET Communications  
Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state-of-the-art algorithms.  ...  In this algorithm, by theoretical analysis and experimental validation, restriction is broken through a simple yet effective FCA network sampling strategy and a Siamese-FCA tracker with significant performance  ...  In which B is the basis functions of two-dimensional DCT. B i, j h,w = cos ( 𝜋h H ( i + 1 2 ) ) cos ( 𝜋w W ( j + 1 2 )) .  ... 
doi:10.1049/cmu2.12280 fatcat:fmrvhyjqzbe7rhrvptwxk3tr2u
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