活动简介

The annual International Joint Conference on Neural Networks (IJCNN) is the flagship conference of the IEEE Computational Intelligence Society and the International Neural Network Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.

Sponsor Type:1; 9

组委会

General Chairs:

Tianzi Jiang    
Institute of Automation, Chinese Academy of Sciences, China

Xin Yao    
Southern University of Science and Technology, China

Program Chair:

Zeng-Guang Hou    
Institute of Automation, Chinese Academy of Sciences, China 

Program Co-Chairs:

Marley Vellasco    
Pontifical Catholic University of Rio de Janeiro, Brazil 

Seiichi Ozawa    
Kobe University, Japan 

Barbara Hammer    
Bielefeld University , Germany 

Technical Chairs:

Don Wunsch    
Missouri University of Science and Technology, USA

Huajin Tang    
Zhejiang University, China

Ke Tang    
Southern University of Science and Technology, China

Zhengyi Yang    
Institute of Automation, Chinese Academy of Sciences, China

Noriyasu Homma    
Tohoku University, Japan

Panel Chairs:

Kenji Doya    
Okinawa Institute of Science and Technology Graduate University, Japan

Robert Kozma    
University of Memphis, Memphis, USA

Derong Liu    
Guangdong University of Technology, China

Special Session Chairs:

Jing Sui    
Institute of Automation, Chinese Academy of Sciences, China

James J.Q. Yu    
Southern University of Science and Technology, China

Brijesh Verma    
Central Queensland University, Australia

征稿信息

重要日期

2021-02-10
初稿截稿日期

征稿范围

NEURAL NETWORK MODELS

Feedforward neural networks
Recurrent neural networks
Self-organizing maps
Radial basis function networks
Attractor neural networks and associative memory
Modular networks
Fuzzy neural networks
Spiking neural networks
Reservoir networks (echo-state networks, liquid-state machines, etc.)
Large-scale neural networks
Other topics in artificial neural networks

MACHINE LEARNING

Supervised learning
Unsupervised learning and clustering, (including PCA, and ICA)
Reinforcement learning
Probabilistic and information-theoretic methods
Support vector machines and kernel methods
EM algorithms
Mixture models, ensemble learning, and other meta-learning or committee algorithms
Bayesian, belief, causal, and semantic networks
Statistical and pattern recognition algorithms
Visualization of data
Feature selection, extraction, and aggregation
Evolutionary learning
Hybrid learning methods
Computational power of neural networks
Deep learning
Other topics in machine learning

NEURODYNAMICS

Dynamical models of spiking neurons
Synchronization and temporal correlation in neural networks
Dynamics of neural systems
Chaotic neural networks
Dynamics of analog networks
Neural oscillators and oscillator networks
Dynamics of attractor networks
Other topics in neurodynamics

COMPUTATIONAL NEUROSCIENCE

Connectomics
Models of large-scale networks in the nervous system
Models of neurons and local circuits
Models of synaptic learning and synaptic dynamics
Models of neuromodulation
Brain imaging
Analysis of neurophysiological and neuroanatomical data
Cognitive neuroscience
Models of neural development
Models of neurochemical processes
Neuroinformatics
Other topics in computational neuroscience 

NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION

Neurocognitive networks
Cognitive architectures
Models of conditioning, reward and behavior
Cognitive models of decision-making
Embodied cognition
Cognitive agents
Multi-agent models of group cognition
Developmental and evolutionary models of cognition
Visual system
Auditory system
Olfactory system
Other sensory systems
Attention
Learning and memory
Spatial cognition, representation and navigation
Semantic cognition and language
Neural models of symbolic processing
Reasoning and problem-solving
Working memory and cognitive control
Emotion and motivation
Motor control and action
Dynamical models of coordination and behavior
Consciousness and awareness
Models of sleep and diurnal rhythms
Mental disorders
Other topics in neural models of perception, cognition and action

NEUROENGINEERING

Brain-machine interfaces
Neural prostheses 
Neuromorphic hardware
Embedded neural systems
Other topics in neuroengineering

BIO-INSPIRED AND BIOMORPHIC SYSTEMS

Brain-inspired cognitive architectures
Embodied robotics
Evolutionary robotics
Developmental robotics
Computational models of development
Collective intelligence
Swarms
Autonomous complex systems
Self-configuring systems
Self-healing systems
Self-aware systems
Emotional computation
Artificial life
Other topics in bio-inspired and biomorphic systems

APPLICATIONS 

Bioinformatics
Biomedical engineering
Data analysis and pattern recognition 
Speech recognition and speech production 
Robotics
Neurocontrol
Approximate dynamic programming, adaptive critics, and Markov decision processes
Neural network approaches to optimization
Signal processing, image processing, and multi-media 
Temporal data analysis, prediction, and forecasting; time series analysis 
Communications and computer networks 
Data mining and knowledge discovery 
Power system applications 
Financial engineering applications 
Applications in multi-agent systems and social computing 
Manufacturing and industrial applications 
Expert systems 
Clinical applications 
Big data applications 
Other applications 
Smart grid applications

CROSS-DISCIPLINARY TOPICS 

Hybrid intelligent systems 
Swarm intelligence 
Sensor networks 
Quantum computation 
Computational biology 
Molecular and DNA computation 
Computation in tissues and cells 
Artificial immune systems 
Other cross-disciplinary topics

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重要日期
  • 会议日期

    07月18日

    2021

    07月22日

    2021

  • 02月10日 2021

    初稿截稿日期

  • 07月22日 2021

    注册截止日期

主办单位
IEEE Computational Intelligence Society International Neural Network Society - INNS
历届会议
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