Journal Guide

Connection Science is an interdisciplinary scientific and technical journal that has, since 1989, been a focus for research on connectionist modelling and neural network learning in both living and artificial systems with an emphasis on cognition and AI. Papers on these traditional themes are still strongly encouraged. However, in 2002, in response to exciting new work in evolutionary methods and adaptive robotics, its scope was broadened to include computational research on all biologically inspired adaptive mechanisms as well as all areas of biologically inspired robotics research. Papers submitted to the journal may be of a practical nature including, but not restricted to, new adaptive methods, novel implementations of existing methods as well as empirical work that has a strong modelling or theoretical component in psychology, biology, neuroscience or biologically inspired robotics. Submissions may also be theoretical or philosophical. Review papers are welcomed and authors are encouraged to consult with the Editor-in-Chief if they are considering a submission. Disclaimer Taylor & Francis makes every effort to ensure the accuracy of all the information (the 'Content') contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

The aim of Connective Tissue Research is to present original and significant research in all basic areas of connective tissue and matrix biology.The journal also provides topical reviews and, on occasion, the proceedings of conferences in areas of special interest at which original work is presented.The journal supports an interdisciplinary approach; we present a variety of perspectives from different disciplines, includingbiochemistry, cell and molecular biology, immunology, structural biology, biophysics and biomechanics.The tissues of interest are*bone, cartilage, dentin, skin, teeth, and tendon, as well as the eyes, the vascular system, the kidneys and other connective tissue component-rich organs.Many processes are appropriate topics for discussion, such as*growth, development, aging, tissue remodeling, wound healing, and biomineralization.This collection of varied but related presentations will inform, stimulate and broaden the outlooks of individual specialists interested in current connective tissue research.

Consciousness and Cognition, An International Journal, provides a forum for a natural science approach to the issues of consciousness, voluntary control, and self. The journal features empirical research (in the form of articles) and theoretical reviews. The journal aims to be both scientifically rigorous and open to novel contributions.Topics of interest include but are not limited to:• Implicit memory• Selective and directed attention• Priming, subliminal or otherwise• Neuroelectric correlates of awareness and decision-making• Assessment of awareness; protocol analysis• The properties of automaticity in perception and action• Relations between awareness and attention• Models of the thalamocortical complex• Blindsight• The neuropathology of consciousness and voluntary control• Pathology of self and self-awareness• The development of the self-concept in childrenDiscount subscription rates are available for members of the ASSC. Please contact the sales office for more details:For the Americas, please email: usjcs@elsevier.comFor Europe, please email: nlinfo-f@elsevier.comFor Asia Pacific, please email: asiainfo@elsevier.comBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com