The ability to tackle analysis of the brain at multiple
levels simultaneously is emerging from rapid methodological
developments. The classical research strategies of
“measure,”
“model,” and
“make” are being applied
to the exploration of nervous system function. These include
novel conceptual and theoretical approaches, creative use of
mathematical modeling, and attempts to build brain-like
devices and systems, as well as other developments including
instrumentation and statistical modeling (not covered
here). Increasingly, these efforts require teams of scientists
from a variety of traditional scientific disciplines to work
together. The potential of such efforts for understanding
directed motor movement, emergence of cognitive function from
neuronal activity, and development of neuromimetic computers
are described by a team that includes individuals experienced
in behavior and neuroscience, mathematics, and
engineering. Funding agencies, including the National Science
Foundation, explore the potential of these changing frontiers
of research for developing research policies and long-term
planning.
%0 Journal Article
%1 silver_neurotech_2007
%A Silver, Rae
%A Boahen, Kwabena
%A Grillner, Sten
%A Kopell, Nancy
%A Olsen, Kathie L.
%D 2007
%J The Journal of Neuroscience
%K neuromorphic simulation
%N 44
%P 11807 --11819
%R 10.1523/JNEUROSCI.3575-07.2007
%T Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools
%U http://www.jneurosci.org/content/27/44/11807.abstract
%V 27
%X The ability to tackle analysis of the brain at multiple
levels simultaneously is emerging from rapid methodological
developments. The classical research strategies of
“measure,”
“model,” and
“make” are being applied
to the exploration of nervous system function. These include
novel conceptual and theoretical approaches, creative use of
mathematical modeling, and attempts to build brain-like
devices and systems, as well as other developments including
instrumentation and statistical modeling (not covered
here). Increasingly, these efforts require teams of scientists
from a variety of traditional scientific disciplines to work
together. The potential of such efforts for understanding
directed motor movement, emergence of cognitive function from
neuronal activity, and development of neuromimetic computers
are described by a team that includes individuals experienced
in behavior and neuroscience, mathematics, and
engineering. Funding agencies, including the National Science
Foundation, explore the potential of these changing frontiers
of research for developing research policies and long-term
planning.
@article{silver_neurotech_2007,
abstract = {The ability to tackle analysis of the brain at multiple
levels simultaneously is emerging from rapid methodological
developments. The classical research strategies of
{\textquotedblleft}measure,{\textquotedblright}
{\textquotedblleft}model,{\textquotedblright} and
{\textquotedblleft}make{\textquotedblright} are being applied
to the exploration of nervous system function. These include
novel conceptual and theoretical approaches, creative use of
mathematical modeling, and attempts to build brain-like
devices and systems, as well as other developments including
instrumentation and statistical modeling (not covered
here). Increasingly, these efforts require teams of scientists
from a variety of traditional scientific disciplines to work
together. The potential of such efforts for understanding
directed motor movement, emergence of cognitive function from
neuronal activity, and development of neuromimetic computers
are described by a team that includes individuals experienced
in behavior and neuroscience, mathematics, and
engineering. Funding agencies, including the National Science
Foundation, explore the potential of these changing frontiers
of research for developing research policies and long-term
planning.},
added-at = {2014-01-19T13:50:32.000+0100},
author = {Silver, Rae and Boahen, Kwabena and Grillner, Sten and Kopell, Nancy and Olsen, Kathie L.},
bdsk-url-1 = {http://www.jneurosci.org/content/27/44/11807.abstract},
bdsk-url-2 = {http://dx.doi.org/10.1523/JNEUROSCI.3575-07.2007},
biburl = {https://www.bibsonomy.org/bibtex/29752541c02309c2562d6ae63aff35bcc/neurokernel},
doi = {10.1523/JNEUROSCI.3575-07.2007},
interhash = {47e674ca628549a5ebbd94a6f3cd635f},
intrahash = {9752541c02309c2562d6ae63aff35bcc},
journal = {The Journal of Neuroscience},
keywords = {neuromorphic simulation},
month = oct,
number = 44,
pages = {11807 --11819},
shorttitle = {Neurotech for Neuroscience},
timestamp = {2014-01-19T13:50:32.000+0100},
title = {Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools},
url = {http://www.jneurosci.org/content/27/44/11807.abstract},
urldate = {2011-05-13},
volume = 27,
year = 2007
}