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Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics
Although many sophisticated EEG analysis methods have been developed, they are rarely used in clinical practice. Individual differences in brain...
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A Novel Attention-based Global and Local Information Fusion Neural Network for Group Recommendation
Due to the popularity of group activities in social media, group recommendation becomes increasingly significant. It aims to pursue a list of...
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Conjectural artworks: seeing at and beyond Maturana and Varela’s visual thinking on life and cognition
This article delineates the notion of conjectural artworks—that is, ways of thinking and explaining formal and relational phenomena by visual...
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A Machine Learning-Based System to Recommend Appropriate Military Training Program for a Soldier
Each military units have its own branch of service, mission, and composition. Personnel, equipment, training, and operations are all critical basic...
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Brain works principle followed by neural information processing: a review of novel brain theory
The way the brain work and its principle of work has long been a big scientific question that scientists have dreamed of solving. However, as is...
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Neurodynamical Computing at the Information Boundaries of Intelligent Systems
Artificial intelligence has not achieved defining features of biological intelligence despite models boasting more parameters than neurons in the...
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A new photosensitive neuron model and its dynamics
Biological neurons can receive inputs and capture a variety of external stimuli, which can be encoded and transmitted as different electric signals....
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CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
Current brain science reveals that the connectivity patterns of the human brain are constantly changing when performing different tasks. Thus, brain...
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Simplified GZN (Gradient-Zhang Neurodynamic) Continuous-Model and Discrete-Algorithms Handling Temporally-Varying ODLMVE (Over-Determined Linear Matrix-Vector Equation)
Solving temporally-varying over-determined linear matrix-vector (LMV) equation (TVODLMVE) issue is applicable in the fields of scientific...
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Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles
This paper presents a neurodynamics-based distributed algorithm for trajectory generation for a group of autonomous surface vehicles (ASVs). By means...
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Modeling and Analysis of EEG Brain Network in High Altitude Task State
Long-term exposure to high altitude, low pressure and low oxygen will seriously threaten people’s cognitive function. To explore the changes in...
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In silico Investigation of the Effects of Distinct Temporal Patterns of Electrical Stimulation to the Amygdala Using a Network of Izhikevich Neurons
Computational modeling is a powerful tool to investigate the mechanisms of neural function. This work model in silico the effect of experimental...
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Neural Networks
An artificial neural network (ANN), often simply called neural network (NN), is a processing model loosely derived from biological neurons; see...
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Back and forth: cybernetics interrelations and how it spread in Latin America
Cybernetics is a science characterized by the utopian search for new relationships between different areas of knowledge. After the Second World War,...
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Collective Neurodynamic Optimization for Image Segmentation by Binary Model with Constraints
Threshold method is an important image segmentation method, which has been widely used in image segmentation. For this method, it is very important...
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Formation and Development of Image Analysis and Pattern Recognition in the USSR, the Republic of Belarus, and the Russian Federation
AbstractPreface to the Special Issue of the journal PRIA “Leading Scientific Schools in Image Analysis, Pattern Recognition, and Related Problems of...
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Correlation–Comparison Analysis as a New Way of Data-Mining: Application to Neural Data
This paper aims to present a way of multidimensional data-mining termed correlation–comparison analysis (CCA). It was applied to neural data to...
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Toward the third generation artificial intelligence
There have been two competing paradigms in artificial intelligence (AI) development ever since its birth in 1956, i.e., symbolism and connectionism...
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On the Work of the Institute of Control Sciences of the Russian Academy of Sciences in the Field of Pattern Recognition Theory and Applications in the 20th Century
AbstractBrief historical background on the establishment and activities of the Institute of Control Sciences (IPU RAS). The paper presents key...
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Hybrid Intelligent Networks
In this chapter, a broad but self-contained overview of the terminology of hybrid intelligent network is provided. Section 1.1 first presents a...