IJCNN 2020

IJCNN 2020
IEEE International Joint Conference on Neural Networks
Event in series	IJCNN
Dates	2020/07/19 (iCal) - 2020/07/24
Homepage:	https://wcci2020.org/ijcnn-sessions/
Location
Location:	Glasgow, UK
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Table of Contents

The International Joint Conference on Neural Networks (IJCNN) covers a wide range of topics in the field of neural networks, from biological neural networks to artificial neural computation.

List of topics:

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
• Learning vector quantization
• Deep neural networks
• Randomized neural networks
• Other topics in artificial neural networks

MACHINE LEARNING

• Supervised learning
• Unsupervised learning and clustering, (including PCA, and ICA)
• Reinforcement learning and adaptive dynamic programming
• Semi-supervised learning
• Online 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
• Sparse coding and models
• 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
• Itinerant dynamics in neural systems
• 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
• Brain Informatics
• 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
• Grounding, symbol grounding
• 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

• Applications of deep neural networks
• 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
• Security 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
• Philosophical issues
• Other cross-disciplinary topics