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IJCNN 2023 : International Joint Conference on Neural NetworksConference Series : International Joint Conference on Neural Network | |||||||||||||||
Link: https://sites.google.com/site/innsaustraliachapter/ | |||||||||||||||
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Call For Papers | |||||||||||||||
More information will be available at the end of 2021.
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 |
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