Computational Intelligence and Neuroscience (CIN)


Computational Intelligence and Neuroscience (CIN)

Publisher: Hindawi Publishing Corporation

Computational Intelligence and Neuroscience (CIN) is a forum for the
interdisciplinary field of neural computing, neural engineering and
artificial intelligence, where neuroscientists, cognitive scientists,
engineers, psychologists, physicists, computer scientists, and artificial
intelligence investigators among others can publish their work in one
periodical that bridges the gap between neuroscience, artificial
intelligence and engineering.

The journal provides research and review papers at an interdisciplinary
level, with the field of intelligent systems for computational neuroscience
as its focus. This field includes areas like artificial intelligence, models
and computational theories of human cognition, perception and motivation;
brain models, artificial neural nets and neural computing.

All items relevant to building theoretical and practical systems are within
its scope, including contributions in the area of applicable neural networks
theory, supervised and unsupervised learning methods, algorithms,
architectures, performance measures, applied statistics, software
simulations, hardware implementations, benchmarks, system engineering and
integration and innovative applications.

The journal spans the disciplines of computer science, mathematics, physics,
psychology, cognitive science, medicine and neurobiology amongst others.
Work on computational intelligence and neuroscience refers to work on
theoretical and computational aspects of the development and functioning of
the nervous system, which can be at the level of networks of neurons or at
the cellular or the sub-cellular level.

Topics of the journal include but are not limited to computational,
theoretical, experimental, clinical and applied aspects of the following:

* Neural modeling and neural-computation
* Neural signal processing
* Brain-computer interfacing
* Neuron-electronics
* Neurofeedback, neural rehabilitation
* Neuroinformatics
* Brain waves, neuroimaging (fMRI, EEG, MEG, PET, NIR)
* Neural circuits: artificial and biological
* Neural control and neural system analysis
* Learning theory (supervised/unsupervised/reinforcement learning)
* Knowledge based neural networks, probabilistic, spatial, and temporal
knowledge representation and reasoning
* Learning Classifiers
* Fusion of neural network- fuzzy systems- evolutionary algorithms
* Biologically inspired Intelligent agents (architectures, environments,
adaptation/ learning and knowledge management)
* Bayesian networks and probabilistic reasoning
* Swarm intelligence, Ant colony optimization, Multi-agent systems
* Computational aspects of perceptual systems; Perception of different
(visual, auditory and tactile) modalities; Perception and selective
* Long-term, Short-term, and Working memory
* Multi-level (neural, psychological, computational) analysis of cognitive
* Integrated theories of natural and artificial cognitive systems
* Information-theoretic, control-theoretic, and decision-theoretic
approaches to neuroscience
* Multi-disciplinary computational approaches to the study of creativity,
learning, knowledge and inference, emotion and motivation, awareness and
consciousness, perception and action, decision making and action, etc.
* Cognitive systems from artificial life, dynamical systems, complex systems
* Neurobiologically inspired evolutionary systems.

Featured contributions will fall into original research papers or review
articles. Articles are expected to be high quality contributions
representing new and significant research, developments or applications of
practical use and value. Decisions will be made based on originality,
technical soundness, clarity of exposition, scientific contribution and
multidisciplinary impact of the article.

Furthermore, the journal will organize topic-oriented Special Issues
highlighting the most current and interesting areas of research in
computational neuroscience. Special Issue proposals are welcome and should
be submitted to the Editor-in-Chief at

ISSN: 1687-5265
e-ISSN: 1687-5273

Manuscripts are invited and should be submitted by one of the authors of the
manuscript through the electronic Manuscript Tracking System (MTS) at


Andrzej Cichocki
Warsaw University of Technology


Laboratory for Advanced Brain Signal Processing
Riken Brain Science Institute


Computational Intelligence and Neuroscience is available free of charge as
an Open Access journal on the Internet.

Content available in PDF format.

Current Issue: Forthcoming

Date: 13 April 2006

Open Access: 
Original posting date: 
Thursday, April 13, 2006
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