Neuroinformatics: Computers to Further Neuroscience Research

The human brain
is an intricate network that relays and processes signals as well as monitors
all the processes in the human body. 
Simple experimental techniques used to study the brain are useful but
parallel to how the brain works, a more integrated approach that involves all
aspects of science and technology that is required to try to go beyond current
limitations and blind spots.  This
integrated approach is further enhanced by the combined efforts of connected
researchers who can exchange data more readily from a database. 

Similar to
bioinformatics, neuroinformatics focuses on the creation, maintenance and
development of databases that hold data while making sure this information is
available to the research community as a whole.
The use of this data is integrated with several forms of analyses,
including computational methods that involve algorithms, methods of modeling to apply the data and increasingly,  as well as networking technologies. 

Since the
concept of neuroinformatics relies quite heavily on computation which
encompasses databases, networks, and virtual models, there is a great importance
on more closely integrating computer science with neuroscience, as well as
maximizing its application. 

Another concern
is studying the neuronal system which includes local systems that can be
grouped further into larger systems that help researchers understand how the
brain works as the ultimate mastermind, literally, of the entire neuronal
system.   Since there are several levels
of organization and cross-talk between systems, there is an importance on
analyzing how these systems work independently, correlatively, and within a
larger framework.  Thus, modeling
analyses are especially useful to understand these types of interactions. 

Thus, in
response to the need for complicated levels of analyses as well as
computational methods, technological developments include a focus on connecting
computers and their data via the internet, and relying on this to perform
several sets of smaller computations simultaneously or to perform a very large
computation. There is also a great push
for making data, modeling tools and collaborative analyses available for
exchange and contribution between many researchers in the various fields of
science. 

In this current
communication and technology rich age, the benefit of network communication,
information exchange, and computational advancement is the best example of
positively enhancing scientific research and taking it to a new level.