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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

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Cover of 'Biologically Inspired Cognitive Architectures (BICA) for Young Scientists'

Table of Contents

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    Book Overview
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    Chapter 1 The Cognitive Architecture Within the Natural-Constructive Approach
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    Chapter 2 Models of Autonomous Cognitive Agents
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    Chapter 3 Differentiation of Groundwater Tax Rates as an Element of Improving the Economic Mechanism in the State Groundwater Extraction Management
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    Chapter 4 Users’ of Information Systems Protection Analysis from Malefactor’s Social Engineering Attacks Taking into Account Malefactor’s Competence Profile
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    Chapter 5 Character Reasoning of the Social Network Users on the Basis of the Content Contained on Their Personal Pages
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    Chapter 6 Bayesian Optimization of Spiking Neural Network Parameters to Solving the Time Series Classification Task
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    Chapter 7 Simulation of Learning in Neuronal Culture
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    Chapter 8 Biologically Plausible Saliency Detection Model
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    Chapter 9 Active Adaptation of Expert-Based Suggestions in Ladieswear Recommender System LookBooksClub via Reinforcement Learning
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    Chapter 10 Visual Analytics Support for Carbon Nanotube Design Automation
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    Chapter 11 A Model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial Processing Based on Even Cyclic Inhibitory Networks
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    Chapter 12 Feature Selection for Time-Series Prediction in Case of Undetermined Estimation
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    Chapter 13 A New Approach for Semantic Cognitive Maps Creation and Evaluation Based on Affix Relations
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    Chapter 14 On Alternative Instruments for the fMRI Data Analysis: General Linear Model Versus Algebraic Topology Approach
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    Chapter 15 Application of Hopfield Neural Network to the N-Queens Problem
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    Chapter 16 Simulation of a Fear-like State on a Model of Dopamine System of Rat Brain
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    Chapter 17 Spatial and Temporal Parameters of Eye Movements During Viewing of Affective Images
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    Chapter 18 MEG Data Analysis Using the Empirical Mode Decomposition Method
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    Chapter 19 Evolutional Approach to Image Processing on the Example of Microsections
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    Chapter 20 “Cognovisor” for the Human Brain: Towards Mapping of Thought Processes by a Combination of fMRI and Eye-Tracking
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    Chapter 21 Dynamic Intelligent Systems Integration and Evolution of Intelligent Control Systems Architectures
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    Chapter 22 Automated Planning: Usage for Integrated Expert Systems Construction
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    Chapter 23 Features of Temporal Knowledge Acquisition and Representation in Dynamic Integrated Expert Systems
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    Chapter 24 Collaboration of All-Purpose Static Solver, Temporal Reasoning and Simulation Modeling Tools in Dynamic Integrated Expert Systems
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    Chapter 25 Some Aspects of Intellectual Tutoring Based on the Integrated Tutoring Expert Systems Usage
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    Chapter 26 To the Question of Learnability of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex Input Signals
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    Chapter 27 Causal Interactions Within the Default Mode Network as Revealed by Low-Frequency Brain Fluctuations and Information Transfer Entropy
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    Chapter 28 Hierarchical Temporal Memory Implementation with Explicit States Extraction
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    Chapter 29 Swarm MeLiF: Feature Selection with Filter Combination Found via Swarm Intelligence
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    Chapter 30 Agent-Based Model of Interactions in the Community of Investors and Producers
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    Chapter 31 Patterns of Spiking Activity of Neuronal Networks in Vitro as Memory Traces
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    Chapter 32 Ontology-Based Competency Management: Infrastructures for the Knowledge Intensive Learning Organization
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    Chapter 33 The Approach to Modeling of Synchronized Bursting in Neuronal Culture Using a Mathematical Model of a Neuron with Autoregulation Mechanism
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    Chapter 34 Dynamic Clustering of Connections Between fMRI Resting State Networks: A Comparison of Two Methods of Data Analysis
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    Chapter 35 Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-component Solutions of Inorganic Salts
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    Chapter 36 Prediction of Relativistic Electrons Flux in the Outer Radiation Belt of the Earth Using Adaptive Methods
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    Chapter 37 Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data
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    Chapter 38 A Biologically Inspired Architecture for Visual Self-location
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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-32554-5
978-3-31-932553-8, 978-3-31-932554-5

Alexei V. Samsonovich, Valentin V. Klimov, Galina V. Rybina

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Professor > Associate Professor 2 20%
Professor 1 10%
Student > Doctoral Student 1 10%
Lecturer > Senior Lecturer 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 5 50%
Physics and Astronomy 2 20%
Engineering 1 10%
Unknown 2 20%