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