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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
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