ISNN 2018 - 15th International Symposium on Neural Networks

Following the successes of previous events, the 15th International Symposium on Neural Networks (ISNN 2018) will be held in Minsk, Belarus. Located by the Svislach and the Nyamiha Rivers, Minsk is the capital and largest city of Belarus with a population of over two millions.
ISNN 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
Papers are solicited for, but not limited to the following tracks:
Computational Neuroscience and Cognitive Science
Computational Neural Models
Spiking Neurons
Visual and Auditory Cortex
Neural Encoding and Decoding
Plasticity and Adaptation
Brain Imaging (fMRI, MEG, EEG)
Learning and Memory
Inference and Reasoning
Knowledge Acquisition and Language
Perception, Emotion and Development
Action and Motor Control
Attractor and Associative Memory
Neurodynamics, Complex Systems, and Chaos
Models, Methods and Algorithms
Stability and Convergence Analysis
Neural Network Models (Feedforward/Recurrent/Self-organizing/Cellular/Hybrid Neural Networks)
Supervised/Unsupervised/Reinforcement Learning/Deep Learning
Statistical Learning Algorithms (PCA, ICA, Projection Pursuit Methods)
Kernel Methods, Large Margin Methods and SVM
Optimization Algorithms / Variational Methods
Probabilistic and Information-Theoretic Methods
Mixture Models, Graphical Models, Topic Models and Gaussian Processes
Ensemble Learning, Committee Algorithms and Boosting
Bayesian, Belief, Causal and Semantic Networks
Model Selection and Structure Learning
Feature Analysis and Clustering
Sparsity and Feature Selection
Pattern Analysis and Classification
Matrix/Tensor Analysis and Factorization
Temporal Models and Sequence Data
Structured and Relational Data
Embeddings and Manifold Learning
Active Learning
Vision and Auditory Modelling
Visual Perception and Modelling
Visual Selective Attention
Statistical and Pattern Recognition
Visual Features Analysis
Object Recognition
Motion and Tracking
Natural Scene Statistics
Image Segmentation
Image Coding and Representation
Auditory Perception and Modeling
Source Separation
Speech Recognition and Speech Synthesis
Speaker Identification
Audio and Speech Retrieval
Music Modeling and Analysis
Control, Robotics and Hardware
Neuromorphic Hardware and Implementations
Embedded Neural Networks
Reconfigurable Systems
Fuzzy Neural Networks
Robotics: Neural Robotics, Cognitive Robotics, Developmental Robotics
Multi-Agent Systems and Game Theory
Reinforcement Learning
Markov Decision Processes
Planning and Decision Making
Predictive State Representations
Policy Search
Action and Motor Control
Visuomotor Control
Novel Approaches and Applications
Brain-Like Systems, Adaptive Intelligent Systems
Brain-Computer Interfaces
Granular Computing
Evolutionary Neural Networks
Hybrid Intelligent Systems
Bioinformatics and Biomedical Engineering
Neuroinformatics and Neuroengineering
Systems Biology
Time Series Prediction
Information Retrieval
Data Mining and Knowledge Discovery
Natural Language Processing