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

Topics Covered
 
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