1 Topic for Abstract Submission
2 Topics for Full Paper Submission
1 NEURAL NETWORK MODELS1a Feedforward neural networks
1b Recurrent neural networks
1c Self-organizing maps
1d Radial basis function networks
1e Attractor neural networks and associative memory
1f Modular networks
1g Fuzzy neural networks
1h Spiking neural networks
1i Reservoir networks (echo-state networks, liquid-state machines, etc.)
1j Large-scale neural networks
1k Other topics in artificial neural networks
2 MACHINE LEARNING
2a Supervised learning
2b Unsupervised learning and clustering, (including PCA, and ICA)
2c Reinforcement learning
2d Probabilistic and information-theoretic methods
2e Support vector machines and kernel methods
2f EM algorithms
2g Mixture models, ensemble learning, and other meta-learning or committee algorithms
2h Bayesian, belief, causal, and semantic networks
2i Statistical and pattern recognition algorithms
2j Visualization of data
2k Feature selection, extraction, and aggregation
2l Evolutionary learning
2m Hybrid learning methods
2n Computational power of neural networks
2o Other topics in machine learning
3 NEURODYNAMICS
3a Dynamical models of spiking neurons
3b Synchronization and temporal correlation in neural networks
3c Dynamics of neural computation
3d Chaotic neural networks
3e Itinerant dynamics in neural systems
3f Neural oscillators and oscillator networks
3g Dynamics of attractor networks
3g Dynamics of analog networks
3h Other topics in neurodynamics
4 COMPUTATIONAL NEUROSCIENCE
4a Models of large-scale networks in the nervous system
4b Models of neurons and local circuits
4c Models of synaptic learning and synaptic dynamics
4d Models of neuromodulation
4e Brain imaging
4f Analysis of neurophysiological and neuroanatomical data
4g Cognitive neuroscience
4h Models of neural development
4i Models of neurochemical processes
4j Neuroinformatics
4k Other topics in computational neuroscience
5 NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION
5a Neurocognitive networks
5b Cognitive architectures
5c Models of conditioning, reward and behavior
5d Cognitive models of decision-making
5e Embodied cognition
5f Cognitive agents
5g Multi-agent models of group cognition
5h Developmental and evolutionary models of cognition
5i Visual system
5j Auditory system
5k Olfactory system
5l Other sensory systems
5m Attention
5n Learning and memory
5o Spatial cognition, representation and navigation
5p Semantic cognition and language
5q Neural models of symbolic processing
5r Reasoning and problem-solving
5s Working memory and cognitive control
5t Emotion and motivation
5u Motor control and action
5v Dynamical models of coordination and behavior
5w Consciousness and awareness
5x Models of sleep and diurnal rhythms
5y Mental disorders
5z Other topics in neural models of perception, cognition and action
6 NEUROENGINEERING
6a Brain-machine interfaces
6b Neural prostheses
6c Neuromorphic hardware
6d Embedded neural systems
6e Other topics in neuroengineering
7 BIO-INSPIRED AND BIOMORPHIC SYSTEMS
7a Brain-inspired cognitive architectures
7b Embodied robotics
7c Evolutionary robotics
7d Developmental robotics
7e Computational models of development
7f Collective intelligence
7g Swarms
7h Autonomous complex systems
7i Self-configuring systems
7j Self-healing systems
7k Self-aware systems
7l Emotional computation
7m Artificial life
7n Other topics in bio-inspired and biomorphic systems
8 APPLICATIONS
8a Bioinformatics
8b Biomedical engineering
8c Data analysis and pattern recognition
8d Speech recognition and speech production
8e Robotics
8f Neurocontrol
8g Approximate dynamic programming, adaptive critics, and Markov decision processes
8h Neural network approaches to optimization
8i Signal processing, image processing, and multi-media
8j Temporal data analysis, prediction, and forecasting; time series analysis
8k Communications and computer networks
8l Data mining and knowledge discovery
8m Power system applications
8n Financial engineering applications
8n Military and security applications
8o Applications in multi-agent systems and social computing
8p Manufacturing and industrial applications
8q Expert systems
8r Clinical applications
8s Other applications
9 CROSS-DISCIPLINARY TOPICS
9a Hybrid intelligent systems
9b Swarm intelligence
9c Sensor networks
9d Quantum computation
9e Computational biology
9f Molecular and DNA computation
9g Computation in tissues and cells
9h Artificial immune systems
9i Computational intelligence in Earth and environmental sciences.
9j Other cross-disciplinary topics
C Competition Topics
Ca Detecting driver drowsiness (Ford challenge 2)
Cb Predicting connections in a social network (Kaggle Social Network Competition)
Cc Recognizing German traffic signs (Uni Bochum Traffic Sign Benchmark)
Cd Forecasting transportation data (NNGC, Neural Net Grand Challenge in Forecating)
Cf Benchmarking your unsupervised learning and transfer learning algorithms (Clopinet Unsupervised and Transfer Learning Challenge)
10 SPECIAL SESSION TOPICS
