Online workbenches for neural network connections

The nervous system is the most complex object we know of. It is a spatially distributed, functionally differentiated network formed by axonal connections between defined neuron populations and effector cells. Computer science provides exciting new tools for archiving, analyzing, synthesizing, and modeling on the Web vast amounts of frequently conflicting and incomplete qualitative and quantitative data about the organization and molecular mechanisms of neural networks. To optimize conceptual advances in systems neuroscience, it is important for the research and publishing communities to embrace three exercises: using defined nomenclatures; populating databases; and providing feedback to developers about improved design, performance, and functionality of knowledge management systems and associated visualization tools. J. Comp. Neurol. 500:807–814, 2007. © 2006 Wiley‐Liss, Inc.

[1]  Larry W. Swanson,et al.  A new module for on-line manipulation and display of molecular information in the brain architecture management system , 2007, Neuroinformatics.

[2]  Larry W. Swanson,et al.  A History of Neuroanatomical Mapping , 2000 .

[3]  M. Young,et al.  Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[4]  N. Heintz.  Gene Expression Nervous System Atlas (GENSAT) , 2004, Nature Neuroscience.

[5]  Asunción Gómez-Pérez,et al.  Ontological Engineering: With Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web , 2004, Advanced Information and Knowledge Processing.

[6]  Mnh,et al.  Histologie du Système Nerveux de Lʼhomme et des Vertébrés , 1998 .

[7]  Rolf Kötter,et al.  Online retrieval, processing, and visualization of primate connectivity data from the CoCoMac Database , 2007, Neuroinformatics.

[8]  Perry L. Miller,et al.  Neuronal database integration: the Senselab EAV data model , 1999, AMIA.

[9]  Larry W. Swanson,et al.  Brain architecture management system , 2007, Neuroinformatics.

[10]  C. D. Stern,et al.  Handbook of Chemical Neuroanatomy Methods in Chemical Neuroanatomy. Edited by A. Bjorklund and T. Hokfelt. Elsevier, Amsterdam, 1983. Cloth bound, 548 pp. UK £140. (Volume 1 in the series). , 1986, Neurochemistry International.

[11]  L. Swanson.  Brain Architecture: Understanding the Basic Plan , 2002 .

[12]  A. Pearse.  Histochemistry: Theoretical and Applied , 1953 .

[13]  Kimberly Van Auken,et al.  WormBase: a comprehensive data resource for Caenorhabditis biology and genomics , 2004, Nucleic Acids Res..

[14]  Lu Lu,et al.  WebQTL: rapid exploratory analysis of gene expression and genetic networks for brain and behavior , 2004, Nature Neuroscience.

[15]  Larry W. Swanson,et al.  Interactive Brain Maps and Atlases , 2001 .

[16]  T. Huxley,et al.  Manual of human histology / by A. Kölliker ; translated and edited by George Busk and Thomas Huxley. , 1853 .

[17]  G A Ascoli,et al.  Generation, description and storage of dendritic morphology data. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[18]  Irving C. Sherman.  Some Trends in Neuroanatomy , 1951 .

[19]  Gerald E. Hough,et al.  Revised nomenclature for avian telencephalon and some related brainstem nuclei , 2004, The Journal of comparative neurology.

[20]  Michael A. Arbib,et al.  Integrating databases and expert systems for the analysis of brain structures , 2007, Neuroinformatics.

[21]  Larry W. Swanson,et al.  Brain maps : structure of the rat brain : a laboratory guide with printed and electronic templates for data, models and schematics , 1998 .

[22]  Hong Wei Dong.  Comprar The Allen Atlas: A Digital Brain Atlas of C57BL/6J Male Mouse, (with CD-ROM) | Hong Wei Dong | 9780470054086 | Wiley , 2007 .

[23]  H. Markram.  The Blue Brain Project , 2006, Nature Reviews Neuroscience.

[24]  Arthur W. Toga,et al.  The informatics of a C57BL/6J mouse brain atlas , 2007, Neuroinformatics.

[25]  Lars Kai Hansen,et al.  Mining for associations between text and brain activation in a functional neuroimaging database , 2007, Neuroinformatics.

[26]  Jan G. Bjaalie,et al.  Localization in the brain: new solutions emerging , 2002, Nature Reviews Neuroscience.

[27]  Ulla Ruotsalainen,et al.  Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics , 2003, Neuroinformatics.

[28]  Kimberly Van Auken,et al.  WormBase: a multi-species resource for nematode biology and genomics , 2004, Nucleic Acids Res..

[29]  Galen,et al.  On the usefulness of the parts of the body. , 2003, Clinical orthopaedics and related research.

[30]  G. Ascoli.  Mobilizing the base of neuroscience data: the case of neuronal morphologies , 2006, Nature Reviews Neuroscience.

[31]  Michael A. Arbib,et al.  Computing the brain : a guide to neuroinformatics , 2001 .

[32]  Stephen H. Koslow,et al.  Neuroinformatics as a megascience issue , 1999, IEEE Transactions on Information Technology in Biomedicine.

[33]  Larry W. Swanson,et al.  Mapping the human brain: past, present, and future , 1995, Trends in Neurosciences.

[34]  José L. V. Mejino,et al.  A reference ontology for biomedical informatics: the Foundational Model of Anatomy , 2003, J. Biomed. Informatics.

[35]  Douglas M. Bowden,et al.  NeuroNames 2002 , 2003, Neuroinformatics.

[36]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[37]  David N. Kennedy,et al.  The impact of Neuroinformatics , 2007, Neuroinformatics.

[38]  Larry W Swanson,et al.  From gene networks to brain networks , 2003, Nature Neuroscience.

[39]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..