Call for Papers


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

Guidelines for Paper Submission

 

https://www.ijcnn.org/paper-submission

Important Dates 

  • Special session & competition proposals submission: November 15, 2020
  • Tutorial and workshop proposal submission:  December 15, 2020
  • Paper submission: January 15, 2021
  • Paper decision notification: March 15, 2021
  • Camera-ready submission: March 30, 2021
  • All deadlines are US pacific time time, 11:59pm.

 

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