Advances in Artificial Intelligence

Artificial Intelligence in Neuroscience and Systems Biology: Lessons Learnt, Open Problems, and the Road Ahead


Publishing date
01 Feb 2010
Status
Published
Submission deadline
01 Nov 2009

Lead Editor

1Systems Biology Research Group, Centre for Molecular Biosciences, School of Biomedical Sciences, University of Ulster, Cromore Road, Coleraine BT52 1SA, Northern Ireland

2Department of Complex Systems, Future University Hakodate, 116-2 Kamedanakano-cho, Hakodate, Hokkaido 041-8655, Japan

3School of Computing and Mathematics, Faculty of Computing and Engineering, University of Ulster, Shore Road, Newtownabbey BT37 0QB, Northern Ireland


Artificial Intelligence in Neuroscience and Systems Biology: Lessons Learnt, Open Problems, and the Road Ahead

Description

Since its conception in the mid 1950s, artificial intelligence with its great ambition to understand intelligence, its origin and creation, in natural and artificial environments alike, has been a truly multidisciplinary field that reaches out and is inspired by a great diversity of other fields in perpetual motion. Rapid advances in research and technology in various fields have created environments into which artificial intelligence could embed itself naturally and comfortably. Neuroscience with its desire to understand nervous systems of biological organisms and system biology with its longing to comprehend, holistically, the multitude of complex interactions in biological systems are two such fields. They target ideals artificial intelligence has dreamt about for a long time including the computer simulation of an entire biological brain or the creation of new life forms from manipulations on cellular and genetic information in the laboratory.

The scope for artificial intelligence, neuroscience, and systems biology is extremely wide. The motivation of this special issue is to create a bird-eye view on areas and challenges where these fields overlap in their defining ambitions and where these fields may benefit from a synergetic mutual exchange of ideas. The rationale behind this special issue is that a multidisciplinary approach in modern artificial intelligence, neuroscience, and systems biology is essential and that progress in these fields requires a multitude of views and contributions from a wide spectrum of contributors. This special issue, therefore, aims to create a centre of gravity pulling together researchers and industry practitioners from a variety of areas and backgrounds to share results of current research and development and to discuss existing and emerging theoretical and applied problems in artificial intelligence, neuroscience, and systems biology transporting them beyond the event horizon of their individual domains.

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/aai/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2010
  • - Article ID 578309
  • - Editorial

Artificial Intelligence in Neuroscience and Systems Biology: Lessons Learnt, Open Problems, and the Road Ahead

Daniel Berrar | Naoyuki Sato | Alfons Schuster
  • Special Issue
  • - Volume 2010
  • - Article ID 924529
  • - Review Article

From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions

Fiona Browne | Huiru Zheng | ... | Francisco Azuaje
  • Special Issue
  • - Volume 2010
  • - Article ID 918062
  • - Review Article

Where Artificial Intelligence and Neuroscience Meet: The Search for Grounded Architectures of Cognition

Frank van der Velde
  • Special Issue
  • - Volume 2010
  • - Article ID 629869
  • - Research Article

Quo Vadis, Artificial Intelligence?

Daniel Berrar | Naoyuki Sato | Alfons Schuster
  • Special Issue
  • - Volume 2010
  • - Article ID 478107
  • - Review Article

Investigating the Underlying Intelligence Mechanisms of the Biological Olfactory System

Yoshinari Makino | Masafumi Yano
  • Special Issue
  • - Volume 2010
  • - Article ID 765876
  • - Research Article

Bootstrap Learning and Visual Processing Management on Mobile Robots

Mohan Sridharan
  • Special Issue
  • - Volume 2010
  • - Article ID 209254
  • - Research Article

Recurrence Quantification Analysis of Spontaneous Electrophysiological Activity during Development: Characterization of In Vitro Neuronal Networks Cultured on Multi Electrode Array Chips

Antonio Novellino | José-Manuel Zaldívar
  • Special Issue
  • - Volume 2010
  • - Article ID 392868
  • - Review Article

Simulation of Human Episodic Memory by Using a Computational Model of the Hippocampus

Naoyuki Sato | Yoko Yamaguchi
  • Special Issue
  • - Volume 2010
  • - Article ID 521606
  • - Research Article

Application of Game Theory to Neuronal Networks

Alfons Schuster | Yoko Yamaguchi
  • Special Issue
  • - Volume 2010
  • - Article ID 845723
  • - Review Article

Constraints of Biological Neural Networks and Their Consideration in AI Applications

Richard Stafford