ISNN 2011 - 2011 International Symposium on Neural Networks

Website http://isnn2011.mae.cuhk.edu.hk/ | Edit Freely

Category neural networks; learning systems; intelligent systems

Deadline: December 10, 2010 | Date: May 29, 2011-June 01, 2011

Venue/Country: Guilin, China

Updated: 2010-12-09 16:13:26 (GMT+9)

Call For Papers - CFP

China, as a sequel of ISNN 2004?2010. Guilin has a long history as the most beautiful

place in China. It is famous for its wonderful scenery, rivers and karst peaks covered

in lush greenery. ISNN 2011 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 diverse fields. The symposium will feature plenary lectures given by

world renowned scholars, regular sessions with broad coverage, and some special

sessions focusing on popular topics. All papers accepted by and presented at ISNN2011

will be published by Springer as multiple volumes of Lecture Notes in Computer Science

which will be indexed by EI and ISTP. Selected papers will be published in special

issues of several SCI journals.

Click here to download Call for Papers in PDF format

List of Topics

1. Computational Neuroscience and Cognitive Science

Spiking neurons

Visual and auditory cortex

Neural encoding and decoding

Plasticity and adaptation

Brain imaging

Learning and memory

Inference and reasoning

Perception, emotion and development

Attractor and associative memory

Neurodynamics and complex systems

2. Models, Methods and Inference

Stability and convergence analysis

Neural network models

Supervised learning

Unsupervised learning

Embeddings and manifold learning

Active learning

Statistical and informationtheoretic methods

Kernel methods and support vector machines

Mixture models

Graphical and causal models

Bayesian networks

Topic models

Gaussian processes

Model selection

Matrix/tensor analysis

Structured and relational data

Clustering

3. Vision and Auditory Modelling

Visual perception and modelling

Visual selective attention

Statistical and pattern recognition

Visual coding and representation

Object recognition

Motion and tracking

Natural scene analysis

Auditory perception and modelling

Source separation

Speech recognition and speech synthesis

Speaker identification

Audio and speech retrieval

Music modelling and analysis

4. Control, Robotics and Hardware

Neuromorphic hardware and implementation

Embedded neural networks

Fuzzy neural networks

Cognitive robotics

Developmental robotics

Multi-agent systems and game theory

Reinforcement learning

Planning and decision making

Action and motor control

Visuomotor control

5. Novel Approaches and Applications

Brain-like systems

Adaptive intelligent systems

Brain-computer interfaces

Granular computing

Hybrid intelligent systems

Neuroinformatics and neuroengineering

Bioinformatics

Information retrieval

Data mining and knowledge discovery

Natural language processing