Special Issue on Cyborg Intelligence
Submission Deadline: 20 March 2014
Publication: September/October 2014
Recent advances in the multidisciplinary fields of brain-machine interfaces, artificial intelligence, brain neuroscience, microelectronics, and neurophysiology signal a growing convergence between machine and biological intelligence. When compared to biological intelligence, machines have advantages in numerical computation, information retrieval, statistical reasoning, and almost unlimited storage. Humans and animals have their own special skills that showcase biological intelligence. They possess special sensory capabilities (such as dogs, with their heightened olfactory senses), adaptability to changes in external environment, and special cognition capabilities (such as the human ability to reason).
One driver in the convergence of machine and biological intelligence is technology. Although there's a huge difference between biological beings and machines, they share some common physical foundations — communication in both the biological nervous system and motor system, for example, depends on electrical signals. Brain-machine interfaces (BMIs) enable direct communication pathways between the brain and an external device, making it possible to connect organic and computing parts at the signal level. A computing system can be organized with a similar architecture to the biological brain.
Cyborg Intelligence aims to deeply integrate machine intelligence with biological intelligence by connecting machines and living beings via BMIs, enhancing strengths and compensating for weaknesses by combining the biological cognition capability with the machine computational capability. This special issue is to explore methods and systems in this exciting new domain.
The topics of interest include, but are not limited to:
- Computational architecture for cyborg intelligence
- Human-level artificial intelligence
- Non-invasive brain-machine interfaces and applications
- Invasive brain- machine interfaces and applications
- Decoding and encoding of neural signals
- Human-oriented ubiquitous sensing
- Computational neuroscience
Submissions should be 3,000 to 5,400 words (counting a standard figure or table as 200 words) and should follow IEEE Intelligent Systems style and presentation guidelines (www.computer.org/intelligent/author). The manuscripts cannot have been published or be currently submitted for publication elsewhere.
We strongly encourage submissions that include audio, video, and community content, which will be featured on the IEEE Computer Society Web site along with the accepted papers.
- Zhaohui Wu, Zhejiang University, China
- Gang Pan, Zhejiang University, China
- Jose C. Principe, University of Florida, USA
- Andrzej Cichocki, RIKEN, Japan
- Information about the special issue's focus: email@example.com
- General author guidelines: www.computer.org/intelligent/author
- Submission details: contact firstname.lastname@example.org
To submit an article: https://mc.manuscriptcentral.com/is-cs