The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data

What is neuroinformatics? What is the Human Brain Project? Why should you care? Supported by a consortium of US funding agencies, the Human Brain Project aims to bring to the analysis of brain function the same advantages of Internet-accessible databases and database tools that have been crucial to the development of molecular biology and the Human Genome Project. The much greater complexity of neural data, however, makes this a far more challenging task. As a pilot project in this new initiative, we review some of the progress that has been made and indicate some of the problems, challenges and opportunities that lie ahead.

[1]  G M Shepherd,et al.  Forward and backward propagation of dendritic impulses and their synaptic control in mitral cells. , 1997, Science.

[2]  P Cotton Scientists chart course for brain map. , 1993, JAMA.

[3]  R. Axel,et al.  A novel multigene family may encode odorant receptors: A molecular basis for odor recognition , 1991, Cell.

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

[5]  D. V. van Essen,et al.  Structural and Functional Analyses of Human Cerebral Cortex Using a Surface-Based Atlas , 1997, The Journal of Neuroscience.

[6]  G M Shepherd,et al.  Potential ligand-binding residues in rat olfactory receptors identified by correlated mutation analysis. , 1995, Receptors & channels.

[7]  Nicholas T. Carnevale,et al.  The NEURON Simulation Environment , 1997, Neural Computation.

[8]  C. Sander,et al.  Correlated mutations and residue contacts in proteins , 1994, Proteins.

[9]  G M Shepherd,et al.  Positive selection moments identify potential functional residues in human olfactory receptors. , 1996, Receptors & channels.

[10]  M. F. Huerta,et al.  The human brain project: an international resource , 1993, Trends in Neurosciences.

[11]  Y. Paas,et al.  The pathophysiological mechanism underlying Rasmussen's encephalitis: a debate , 1998, Trends in Neurosciences.

[12]  D. H. Paul The physiology of nerve cells , 1975 .

[13]  Constance M. Pechura,et al.  Mapping the Brain and Its Functions , 1991 .

[14]  Paul M. Thompson,et al.  A surface-based technique for warping three-dimensional images of the brain , 1996, IEEE Trans. Medical Imaging.

[15]  L Roberts A call to action on a human brain project. , 1991, Science.

[16]  G. Shepherd,et al.  Theoretical reconstruction of field potentials and dendrodendritic synaptic interactions in olfactory bulb. , 1968, Journal of neurophysiology.

[17]  G. Shepherd The Synaptic Organization of the Brain , 1979 .

[18]  Constance M. Pechura,et al.  Mapping the brain and its functions: integrating enabling technologies into neuroscience research , 1991 .

[19]  P M Nadkarni,et al.  Olfactory receptor database (ORDB): a resource for sharing and analyzing published and unpublished data. , 1997, Chemical senses.

[20]  Gordon M. Shepherd,et al.  Molecular modeling of ligand-receptor interactions in the OR5 olfactory receptor. , 1994, Neuroreport.

[21]  Leonard K. Kaczmarek,et al.  A new family of outwardly rectifying potassium channel proteins with two pore domains in tandem , 1995, Nature.

[22]  E. Myers,et al.  Basic local alignment search tool. , 1990, Journal of molecular biology.

[23]  A. Borst The theoretical foundation of dendritic function edited by I. Segev, J. Rinzel and G.M. Shepherd, The MIT Press, 1995. $55.00 (vii + 465 pages) ISBN 0 262 19356 6 , 1995, Trends in Neurosciences.

[24]  N. Spruston,et al.  Action potential initiation and backpropagation in neurons of the mammalian CNS , 1997, Trends in Neurosciences.

[25]  Perry L. Miller,et al.  Database tools for integrating and searching membrane property data correlated with neuronal morphology , 1998, Journal of Neuroscience Methods.

[26]  Idan Segev,et al.  Methods in neuronal modeling: From synapses to networks , 1989 .

[27]  Gordon M. Shepherd,et al.  ■ REVIEW : Olfactory Receptors: A Large Gene Family with Broad Affinities and Multiple Functions , 1996 .