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A Comparison of Functional Networks Derived From Representational Similarity, Functional Connectivity, and Univariate Analyses
2020
Frontiers in Neuroscience
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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
2016
European Conference on Artificial Intelligence
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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
2012
Cybernetics and Information Technologies
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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
2013
NeuroImage
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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
2003
Artificial Intelligence in Medicine
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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
2007
Ecology
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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
2009
Physical Review E
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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]
2018
bioRxiv
pre-print
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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
2013
Expert systems with applications
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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
2013
International Joint Conference on Artificial Intelligence
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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
2022
International Journal of Computer Applications
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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
2020
International Conference "Internet and Modern Society"
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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
1996
IEEE personal communications
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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
2000
IEEE Communications Surveys and Tutorials
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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
2021
IET Communications
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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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