View source for IJCNN 2020

{{Event
|Acronym=IJCNN 2020
|Title=IEEE International Joint Conference on Neural Networks
|Series=IJCNN
|Type=Conference
|Start date=2020/07/19
|End date=2020/07/24
|Homepage=https://wcci2020.org/ijcnn-sessions/
|City=Glasgow
|Country=UK
}}
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
Acronym	IJCNN 2020 +
End date	July 24, 2020 +
Event in series	IJCNN +
Event type	Conference +
Has coordinates	55° 51' 40", -4° 14' 56"Latitude: 55.860983333333 Longitude: -4.2488777777778 +
Has location city	Glasgow +
Has location country	Category:UK +
Homepage	https://wcci2020.org/ijcnn-sessions/ +
IsA	Event +
Start date	July 19, 2020 +
Title	IEEE International Joint Conference on Neural Networks +