Open Science Research Excellence

ICCNSE 2020 : International Conference on Cognitive and Neural Systems Engineering

Amsterdam, The Netherlands
February 6 - 7, 2020

Call for Papers

ICCNSE 2020 : International Conference on Cognitive and Neural Systems Engineering is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Cognitive and Neural Systems Engineering. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Artificial Neural Networks
  • Computational neuroscience
  • Connectionist cognitive science
  • Data analysis and pattern recognition
  • Graphical networks models, Bayesian networks
  • Hardware implementations and embedded systems
  • Neural and hybrid architectures and learning algorithms
  • Neural control, reinforcement learning and robotics applications
  • Neuroinformatics
  • Neural dynamics and complex systems
  • Real world applications
  • Robotics, control, planning
  • Signal and time series processing
  • Self-organization
  • Vision and image processing
  • Web semantics
  • Intelligent Multimedia and the Semantic Web
  • Neural Information Processing
  • Neural Systems Engineering
  • Supervised & unsupervised learning
  • Neural modeling & architectures
  • Neurodynamics
  • Chaos & learning theory
  • Reinforcement learning
  • Hardware implementation
  • Neural optimization & control
  • Neurobiology & neural modeling
  • Embedded neural systems
  • Neural image & signal processing
  • Neural audio & video systems
  • Neural real-world applications
  • Evolutionary Computation
  • Theory of evolutionary computation
  • Combinatorial & numerical optimization
  • Multi-objective evolutionary algorithm
  • Evolutionary intelligent agents
  • Evolutionary design
  • Evolutionary neural nets
  • Molecular & quantum computing
  • Ant colonies algorithm
  • Immune system & algorithm
  • Particle swarm & differential evolution
  • Hybrid system (Neural, Fuzzy & EC)
  • Evolved real-world applications
  • Cognitive and Neural Systems
  • Vision and image understanding
  • Audition
  • Speech and language
  • Unsupervised learning
  • Supervised learning
  • Reinforcement and emotion
  • Sensory-motor control
  • Cognition, planning, and attention
  • Spatial mapping and navigation
  • Object recognition
  • Neural circuit models
  • Neural system models
  • Mathematics of neural systems
  • Robotics
  • Hybrid systems (fuzzy, evolutionary, digital)
  • Neuromorphic VLSI
  • Industrial applications