7th International Symposium on Neural Networks (ISNN) 2010

  • 06-09 Jun 2010
  • Majesty Plaza, Shanghai, China

Description

The topics of the conference include:

  • 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
    Cognition
    Reinforcement Learning
    Action And Motor Control
    Attractor and Associative Memory
    Neurodynamics, Complex Systems


  • Models, Methods and Inference
  • Stability and Convergence Analysis
    Feed forward Neural Network
    Recurrent Neural Network
    Self-organizing Network
    Cellular Neural Network
    Hybrid Neural Networks
    Supervised Learning
    Unsupervised Learning
    Reinforcement learning
    PCA and ICA
    Projection Pursuit Methods
    Kernel Methods and SVM
    Optimization Algorithms
    Probabilistic and Information-theoretic Methods
    Mixture models
    Graphical Models,Topic Models
    Gaussian Processes
    Ensemble Learning,Committee Algorithms
    Bayesian,Causal,and Semantic Networks
    Model Selection and Structure Learning
    Sparsity and Feature Selection
    Matrix/Tensor Analysis
    Temporal Models and Sequence Data
    Structured and Relational Data
    Ensemble Methods and Boosting
    Clustering
    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 & Modeling
    Source Separation
    Speech Recognition and Speech Synthesis
    Speaker Identification
    Audio and Speech Retrieval
    Music Modeling & Analysis


  • Control, Robotics and Hardware
  • Neuromorphic Hardware and Implementations
    Embedded Neural Networks
    Reconfigurable Systems
    Fuzzy Neural Networks
    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
    Planning and Motion Planning


  • 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

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Science: Engineering

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