[Apologies for cross-postings]
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International Joint Conference on Neural Networks
May 14-19, 2017, Anchorage, Alaska, USA
http://www.ijcnn.org/
##################### Important Dates ######################
* Tutorial and Workshop Proposals October 15, 2016
* Paper Submission November 15, 2016
* Paper Decision Notification January 20, 2017
* Camera-Ready Submission ebruary 20, 2017
#################### UPCOMING DEADLINES ####################
CALL FOR WORKSHOPS http://www.ijcnn.org/call-for-workshops
CALL FOR TUTORIALS http://www.ijcnn.org/call-for-tutorials
[UPCOMING DEADLINES 23.59hr UTC-10 on Saturday, 15 OCTOBER 2016]
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The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The conference is organized jointly by the International Neural Network Society and the IEEE Computational Intelligence Society, and is the premiere international meeting for researchers and other professionals in neural networks and related areas. It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest
For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017).
#################### Paper Submission is now Open ####################
http://www.ijcnn.org/call-for-papers
* Regular paper can have up to 8 pages in double-column IEEE Conference format
* All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size.
* All submitted papers will be checked for plagiarism through the IEEE CrossCheck system.
* Papers with significant overlap with the authors own papers or other papers will be rejected without review.
##########################Call for Workshops##########################
Post-conference workshops offer a unique opportunity for in-depth discussions of specific topics in neural networks and computational intelligence. The workshops should be moderated by scientists or professionals who has significant expertise and /or whose recent work has had a significant impact within their field. IJCNN 2017 will emphasize emerging and growing areas of computational intelligence.
Each workshop has a duration of 3 or 6 hours. The format of each workshop will be up to the moderator, and can include interactive presentations as well as panel discussions among participants. These interactions should highlight exciting new developments and current research trends to facilitate a discussion of ideas that will drive the field forward in the coming years. Workshop organizers can prepare various materials including handouts or electronic resources that can be made available for distribution before or after the meeting.
Researchers interested in organizing workshops are invited to submit a formal proposal including the following information as a single file (pdf, doc, etc.) to the workshop chair:
* Title
* Organizers and their short bio
* Brief description of the scope and impact of the workshop
* Timeliness of the topic
* Confirmed and/or potential speakers
* Half day (3 hours) or full day (6 hours)
* Link to organizer's web page and/or workshop web site (optional)
For further details, please refer http://www.ijcnn.org/call-for-workshops.
Any questions regarding this proposal can be asked to the Workshop Chair:
Lazaros Iliadis, Democritus University of Thrace, Greece. E-mail: liliadis@fmenr.duth.gr
##########################Call for Tutorials##########################
IJCNN 2017 will feature pre-conference tutorials addressing fundamental and advanced topics in computational intelligence. Tutorial proposals should be emailed to the Tutorial Chair (see below). A tutorial proposal should include the
* Title
* Presenter/organizer name(s) and affiliations
* Expected enrollment
* Abstract (less than 300 words)
* Additional outline if needed
* Presenter/organizer biography
* Links to the presenter/organizer web page or the tutorial page (optional)
* The proposal should not exceed two pages in 1.5 space, Times 12 point font. The tutorial format (preliminary) is 1 hour and 45 minutes with a 10-minute break.
Researchers interested in organizing workshops are invited to submit a formal proposal. For further details, please refer to http://www.ijcnn.org/call-for-tutorials.
Any questions regarding this proposal can be asked to the Tutorials Chair:
Asim Roy, Arizona State University, USA. E-mail: ASIM.ROY@asu.edu
##################Topics and Areas of Interest##################
This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to:
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
* Smart grid applications
* Other 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
################## Organizing Committee ######################
The full organizing committee can be found at: http://www.ijcnn.org/organizing-committee
General Chair
* Yoonsuck Choe, Texas A and M University, USA
Program Chair
* Christina Jayne, Robert Gordon University, UK
Technical Co-Chairs
* Irwin King, The Chinese University of Hong Kong, China
* Barbara Hammer, University of Bielefeld, Germany
##################Sponsoring Organizations##################
* INNS - International Neural Network Society
* IEEE - Computational Intelligence Society
* BSCS - Budapest Semester in Cognitive Science