Call For Papers

Topics of Interest
 

The topics of interest for the technical program include (but are not limited to) the following:

Artificial Intelligence Neurotechnologies
  • Active Learning
  • Approximate Inference
  • Artificial Immune Systems
  • Artificial Neural Networks
  • Bandit Algorithms
  • Bayesian Networks
  • Belief Propagation
  • Boosting and Ensemble Methods
  • Causal Inference
  • Classification
  • Clustering
  • Collaborative Filtering
  • Components Analysis
  • Computational Intelligence
  • Constraints
  • Deep Learning
  • Dempster-Shafer
  • Density Estimation
  • Distributed Inference
  • Dynamical Systems
  • Exact Inference
  • Fuzzy Logic
  • Gaussian Processes
  • Graphical and Hierarchical Models
  • Heuristics
  • Hyperparameter Selection
  • Influence Diagrams
  • Kernel Methods
  • Knowledge Representation, Reasoning and Cognitive Modeling
  • Large Margin Methods
  • Latent Variable Models
  • Markov Decision Processes
  • MCMC, Topic Models
  • Metric Learning
  • Multi-Agent Systems
  • Multitask and Transfer Learning
  • Natural Language Processing
  • Nonlinear Dimensionality Reduction and Manifold Learning
  • Nonparametric Bayes
  • Non-Probabilistic Frameworks
  • Online and Anytime Learning
  • Optimization
  • Parameter Estimation
  • Probabilistic Generative Models
  • Ranking and Preference Learning
  • Rational and Structured Learning
  • Recommender Systems
  • Regression
  • Reinforcement Learning
  • Relational Learning
  • Representation Learning
  • Robotics and perception
  • Semi-Supervised Learning
  • Similarity and Distance Learning
  • Spectral Methods
  • Stochastic Methods
  • Structured Prediction
  • Support Vector Machines
  • Swarm Intelligence
  • Unsupervised Learning
  • Variational Inference
  • Adaptive Neurotechnologies
  • Auditory Perception and Modeling
  • Augmentative and Alternative Communication
  • Biofeedback Therapy
  • Brain Diseases
  • Brain imaging
  • Brain Mapping
  • Brain Models and Functions
  • Brain Segmentation
  • Brain-Computer Interfaces and Neural Prostheses
  • Clinical and Social Impact of Neurotechnology
  • Cochlear implants
  • Cognitive Science and Psychology
  • Computational Creativity and Cognitive Architectures
  • Computational Neuroscience
  • Connectomics
  • Deep Brain Stimulation
  • Developmental Cognitive Architectures
  • Devices for Brain Signalling
  • Electronics for Brain Science
  • Functional Electrical Stimulation (FES)
  • Genomics and Systems Biology
  • Human Augmentation
  • Human or Animal Learning
  • Intelligent Diagnosis Systems
  • Language for Cognitive Science
  • Learning Systems and Memory
  • Medical Information Systems and Bioinformatics
  • Multi-modal Brain Computer Interface and Physiological Computing
  • Multiple Modalities for Brain Activities 
  • Neural Coding
  • Neural Rehabilitation and Neuroprosthetics 
  • Neural Signal Processing
  • Neuroinformatics and Neurocomputing 
  • Neuro-Interfacing Wearable Robots
  • Neuromodulation and Neural Engineering 
  • Neuromorphic Circuits and Systems
  • Perception
  • Plasticity and Adaptation
  • Positron Emission Tomography
  • Privacy, Security and Neuroethics
  • Rehabilitation and Assistive Technologies
  • Reverse Engineering the Brain
  • Robotic Assisted Therapy
  • Self-organization and Evolution
  • Sleep Analysis
  • Spatial Cognition and Computation in Cognitive Architectures
  • Spike Train Generation
  • Synaptic Modulation
  • Telerehabilitation
  • Therapeutic Devices and Closed-loop Systems
  • Transcranial Magnetic Stimulation
  • Wearables and Wearable Computing