Call for papers: Advances in Neuroscience and Computational Intelligence
Bioinspired and neuromorphic circuits and systems are an engineering simplification of neuroscience and physiology. This fascinating growing field aims to translate in silicon or into a computer complex physiological phenomenon such as learning, neural networks, sensing-to-action, and computational intelligence.
Recent advances in this field have made the boundaries between physiological and circuital systems even thinner. This special issue is intended to present and discuss breakthrough technological developments which are expected to bridge the gap between physiology and engineering.
Potential topics include, but are not limited to:
- Integrated theories of natural and artificial cognitive systems
- Neural modeling and neural-computation
- Neural signal processing
- Brain-computer interfacing
- Neuron-electronics Neurofeedback, neural rehabilitation
- Neuroinformatics
- Neural control and neural system analysis
- Learning theory (supervised/unsupervised/reinforcement learning)
- Knowledge based neural networks, probabilistic, spatial, and temporal knowledge representation and reasoning
- Computational aspects of perceptual systems; perception of different (visual, auditory, and tactile) modalities; perception and selective attention
- Cognitive systems from artificial life, dynamical systems, and complex systems perspectives
Authors can submit their manuscripts via the Manuscript Tracking System.(opens in a new window)
Manuscript Due
Friday, 25 December 2015
First Round of Reviews
Friday, 18 March 2016
Publication Date
Friday, 13 May 2016
Lead Guest Editor
- Gaetano D. Gargiulo, Western Sydney University, Penrith, Australia
Guest Editors
- Yossi Buskila, Western Sydney University, Campbelltown, Australia
- Paolo Bifulco, Universita degli Studi di Napoli Federico II, Naples, Italy
- Alistair L. McEwan, University of Sydney, Sydney, Australia
- Emre Neftici, University of California, Irvine, USA
