Difference between revisions of "IJCNN 2020"

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{{Event
 
{{Event
 
|Acronym=IJCNN 2020
 
|Acronym=IJCNN 2020
 +
|Title=IEEE International Joint Conference on Neural Networks
 
|Series=IJCNN
 
|Series=IJCNN
−
|Title=IEEE International Joint Conference on Neural Networks
+
|Type=Conference
 +
|Start date=2020/07/19
 +
|End date=2020/07/24
 +
|Homepage=https://wcci2020.org/ijcnn-sessions/
 
|City=Glasgow
 
|City=Glasgow
 
|Country=UK
 
|Country=UK
−
|End date=7/24/2020
 
−
|Start date=7/19/2020
 
−
|Homepage=https://wcci2020.org/ijcnn-sessions/
 
 
}}
 
}}
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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

Latest revision as of 14:58, 6 March 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
Loading map...

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
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Facts about "IJCNN 2020"
RDF feed
AcronymIJCNN 2020 +
End dateJuly 24, 2020 +
Event in seriesIJCNN +
Event typeConference +
Has coordinates55° 51' 40", -4° 15' 1"Latitude: 55.861155555556
Longitude: -4.2501694444444 +
Has location cityGlasgow +
Has location countryCategory:UK +
Homepagehttps://wcci2020.org/ijcnn-sessions/ +
IsAEvent +
Start dateJuly 19, 2020 +
TitleIEEE International Joint Conference on Neural Networks +