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{{Principles of Biological Computation}}
{{Principles of Biological Computation}}


'''*Please note that most events are by invitation only.'''
==Background==
Computational Biology is not Biological Computation.  The order
matters. Whereas Computational Biology typically involves the
application of computational tools (models, data bases, etc) to the
analysis of genetic, anatomical, physiological and behavioral
data, Biological Computation seeks to isolate the elusive (and
in many cases still undiscovered) computational primitives employed by
naturally evolved systems, often abstracted from any particular
physical implementation or specific species. Unfortunately, many
conferences that address Biological Computation often do so as part of
larger gatherings devoted to an entire field (i.e. the annual Society
for Neuroscience meeting) in which the directly relevant presentations
are widely scattered and general principles are difficult to
synthesize.  Even smaller, more focused conferences still typically
mix research on computational methods with studies of how biological
systems actually compute (often with a healthy dose of Systems Biology thrown
in as well) or else include a heavy focus on Applications whose
connection to "real" biology may be tenuous at best. The purpose of
this workshop is to provide a forum in which the focus is exclusively
on how natural biological systems compute.  What are the computational
primitives underlying biological computing and how can the corresponding
principles be abstracted away from the physical implementation?
 
 
'''*Please note that this event is by invitation only.'''

Revision as of 17:34, 20 March 2008

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Background

Computational Biology is not Biological Computation. The order matters. Whereas Computational Biology typically involves the application of computational tools (models, data bases, etc) to the analysis of genetic, anatomical, physiological and behavioral data, Biological Computation seeks to isolate the elusive (and in many cases still undiscovered) computational primitives employed by naturally evolved systems, often abstracted from any particular physical implementation or specific species. Unfortunately, many conferences that address Biological Computation often do so as part of larger gatherings devoted to an entire field (i.e. the annual Society for Neuroscience meeting) in which the directly relevant presentations are widely scattered and general principles are difficult to synthesize. Even smaller, more focused conferences still typically mix research on computational methods with studies of how biological systems actually compute (often with a healthy dose of Systems Biology thrown in as well) or else include a heavy focus on Applications whose connection to "real" biology may be tenuous at best. The purpose of this workshop is to provide a forum in which the focus is exclusively on how natural biological systems compute. What are the computational primitives underlying biological computing and how can the corresponding principles be abstracted away from the physical implementation?


*Please note that this event is by invitation only.