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Introduction

Following the successes of previous events, the 14th International Symposium on Neural Networks (ISNN 2017) will be held in Sapporo, Hokkaido, Japan. Located in northern island of Hokkaido, Sapporo is the fourth largest Japanese city and a popular summer/winter tourist venue.

ISNN 2017 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.

Prospective authors are invited to contribute high-quality papers to ISNN 2017. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ISNN 2017. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information of the organizers.

Call for paper

Important date

2017-01-01
Draft paper submission deadline
2017-02-01
Draft paper acceptance notification
2017-03-01
Final paper submission deadline

Submission Topics

Computational Neural Models

  • Spiking Neurons

  • Visual and Auditory Cortex

  • Neural Encoding and Decoding

  • Plasticity and Adaptation

  • Brain Imaging (fMRI, MEG, EEG)

  • Learning and Memory

  • Inference and Reasoning

  • Knowledge Acquisition and Language

  • Perception, Emotion and Development

  • Action and Motor Control

  • Attractor and Associative Memory

  • Neurodynamics, Complex Systems, and Chaos

Stability and Convergence Analysis

  • Neural Network Models (Feedforward/Recurrent/Self-organizing/Cellular/Hybrid Neural Networks)

  • Supervised/Unsupervised/Reinforcement Learning

  • Statistical Learning Algorithms (PCA, ICA, Projection Pursuit Methods)

  • Kernel Methods, Large Margin Methods and SVM

  • Optimization Algorithms / Variational Methods

  • Probabilistic and Information-Theoretic Methods

  • Mixture Models, Graphical Models, Topic Models and Gaussian Processes

  • Ensemble Learning, Committee Algorithms and Boosting

  • Bayesian, Belief, Causal and Semantic Networks

  • Model Selection and Structure Learning

  • Feature Analysis and Clustering

  • Sparsity and Feature Selection

  • Pattern Analysis and Classification

  • Matrix/Tensor Analysis and Factorization

  • Temporal Models and Sequence Data

  • Structured and Relational Data

  • Embeddings and Manifold Learning

  • Active Learning

Visual Perception and Modelling

  • Visual Selective Attention

  • Statistical and Pattern Recognition

  • Visual Features Analysis

  • Object Recognition

  • Motion and Tracking

  • Natural Scene Statistics

  • Image Segmentation

  • Image Coding and Representation

  • Auditory Perception and Modeling

  • Source Separation

  • Speech Recognition and Speech Synthesis

  • Speaker Identification

  • Audio and Speech Retrieval

  • Music Modeling and Analysis

Neuromorphic Hardware and Implementations

  • Embedded Neural Networks

  • Reconfigurable Systems

  • Fuzzy Neural Networks

  • Robotics: Neural Robotics, Cognitive Robotics, Developmental Robotics

  • Multi-Agent Systems and Game Theory

  • Reinforcement Learning

  • Markov Decision Processes

  • Planning and Decision Making

  • Predictive State Representations

  • Policy Search

  • Action and Motor Control

  • Visuomotor Control

Brain-Like Systems, Adaptive Intelligent Systems

  • Brain-Computer Interfaces

  • Granular Computing

  • Evolutionary Neural Networks

  • Hybrid Intelligent Systems

  • Bioinformatics and Biomedical Engineering

  • Neuroinformatics and Neuroengineering

  • Systems Biology

  • Time Series Prediction

  • Information Retrieval

  • Data Mining and Knowledge Discovery

  • Natural Language Processing

Computational Neuroscience and Cognitive Science

  • Models, Methods and Algorithms

  • Vision and Auditory Modelling

  • Control, Robotics and Hardware

  • Novel Approaches and Applications

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Important Date
  • Conference Date

    Jun 21

    2017

    to

    Jun 23

    2017

  • Jan 01 2017

    Draft paper submission deadline

  • Feb 01 2017

    Draft Paper Acceptance Notification

  • Mar 01 2017

    Final Paper Deadline

  • Jun 23 2017

    Registration deadline

Contact Information