Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
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Published By Springer International Publishing

9783319325538, 9783319325545

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Users’ of Information Systems Protection Analysis from Malefactor’s Social Engineering Attacks Taking into Account Malefactor’s Competence Profile

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_4 ◽

2016 ◽

pp. 25-30 ◽

Cited By ~ 3

Author(s):

Artur Azarov ◽

Maksim Abramov ◽

Tatiana Tulupyeva ◽

Alexander Tulupyev

Keyword(s):

Information Systems ◽

Social Engineering ◽

Competence Profile

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Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_37 ◽

2016 ◽

pp. 289-295 ◽

Cited By ~ 4

Author(s):

Igor Isaev ◽

Sergey Dolenko

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Comparative Analysis ◽

Inverse Problems ◽

Model Data ◽

Artificial Neural ◽

Residual Minimization

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On Alternative Instruments for the fMRI Data Analysis: General Linear Model Versus Algebraic Topology Approach

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_14 ◽

2016 ◽

pp. 107-113 ◽

Cited By ~ 2

Author(s):

Irina Knyazeva ◽

Vyacheslav Orlov ◽

Vadim Ushakov ◽

Nikolay Makarenko ◽

Boris Velichkovsky

Keyword(s):

Data Analysis ◽

Linear Model ◽

Algebraic Topology ◽

General Linear Model ◽

Fmri Data ◽

General Linear ◽

Fmri Data Analysis ◽

Model Versus

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Some Aspects of Intellectual Tutoring Based on the Integrated Tutoring Expert Systems Usage

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_25 ◽

2016 ◽

pp. 197-204 ◽

Cited By ~ 1

Author(s):

Galina V. Rybina ◽

Elena S. Sergienko ◽

Iliya A. Sorokin

Keyword(s):

Expert Systems

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Ontology-Based Competency Management: Infrastructures for the Knowledge Intensive Learning Organization

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_32 ◽

2016 ◽

pp. 249-256 ◽

Cited By ~ 2

Author(s):

Yury Telnov ◽

Ivan Savichev

Keyword(s):

Learning Organization ◽

Knowledge Intensive ◽

Competency Management

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Biologically Plausible Saliency Detection Model

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_8 ◽

2016 ◽

pp. 53-59

Author(s):

Natalia Efremova ◽

Sergey Tarasenko

Keyword(s):

Saliency Detection ◽

Detection Model

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Hierarchical Temporal Memory Implementation with Explicit States Extraction

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_28 ◽

2016 ◽

pp. 219-225 ◽

Cited By ~ 2

Author(s):

Aleksey Skrynnik ◽

Alexander Petrov ◽

Aleksandr I. Panov

Keyword(s):

Temporal Memory ◽

Hierarchical Temporal Memory

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Spatial and Temporal Parameters of Eye Movements During Viewing of Affective Images

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_17 ◽

2016 ◽

pp. 127-133

Author(s):

Olga Lomakina ◽

Lubov Podladchikova ◽

Dmitry Shaposhnikov ◽

Tatiana Koltunova

Keyword(s):

Eye Movements ◽

Temporal Parameters

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A Model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial Processing Based on Even Cyclic Inhibitory Networks

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_11 ◽

2016 ◽

pp. 79-84

Author(s):

Zoia Kharybina

Keyword(s):

Hippocampal Formation ◽

Spatial Processing ◽

Inhibitory Networks

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Dynamic Clustering of Connections Between fMRI Resting State Networks: A Comparison of Two Methods of Data Analysis

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists ◽

10.1007/978-3-319-32554-5_34 ◽

2016 ◽

pp. 265-271 ◽

Cited By ~ 2

Author(s):

Victoria Zavyalova ◽

Irina Knyazeva ◽

Vadim Ushakov ◽

Alexey Poyda ◽

Nikolay Makarenko ◽

...

Keyword(s):

Data Analysis ◽

Resting State ◽

Dynamic Clustering ◽

Resting State Networks

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Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young ScientistsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Users’ of Information Systems Protection Analysis from Malefactor’s Social Engineering Attacks Taking into Account Malefactor’s Competence Profile

Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data

On Alternative Instruments for the fMRI Data Analysis: General Linear Model Versus Algebraic Topology Approach

Some Aspects of Intellectual Tutoring Based on the Integrated Tutoring Expert Systems Usage

Ontology-Based Competency Management: Infrastructures for the Knowledge Intensive Learning Organization

Biologically Plausible Saliency Detection Model

Hierarchical Temporal Memory Implementation with Explicit States Extraction

Spatial and Temporal Parameters of Eye Movements During Viewing of Affective Images

A Model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial Processing Based on Even Cyclic Inhibitory Networks

Dynamic Clustering of Connections Between fMRI Resting State Networks: A Comparison of Two Methods of Data Analysis

Advances in Intelligent Systems and Computing - Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
Latest Publications