[Someone please explain this to me]:
http://www.eurekalert.org/pub_releases/2008-03/danl-loa030708.php
Language of a fly proves surprising
Insect's sensory data tells a new story about neural networks
LOS ALAMOS, New Mexico, March 10, 2008-A group of researchers has developed a 
novel way to view the world through the eyes of a common fly and partially 
decode the insect's reactions to changes in the world around it. The research 
fundamentally alters earlier beliefs about how neural networks function and 
could provide the basis for intelligent computers that mimic biological 
processes.

In an article published in the Public Library of Science Computational Biology 
Journal, Los Alamos physicist Ilya Nemenman joins Geoffrey Lewen, William 
Bialek and Rob de Ruyter van Steveninck of the Hun School of Princeton, 
Princeton University and Indiana University, respectively, in describing the 
research.

The team used tiny electrodes to tap into motion-sensitive neurons in the 
visual system of a common blowfly. Neurons are nerve cells that emit tiny 
electric spikes when stimulated. The electrodes detected pulses from the 
motion-sensitive neurons in the fly. The fly uses the neurons to estimate, and 
subsequently control, how it moves through the world.

The team harnessed the wired fly into an elaborate turntable-like mechanism 
that mimics the kind of acrobatic flight a fly might undergo while evading a 
predator or chasing another fly. The mechanism can spin extremely fast and 
change velocities quickly. A fly in the mechanism sees changes in the world 
around it and its motion-sensitive neurons react much in the same way as they 
would if the insect were actually flying.

Under complex flight scenarios, the fly's neurons fired very quickly. The 
researchers looked at the firing patterns and mapped them with a binary code of 
ones and zeroes, much like computer instructions, or binary messages in digital 
phone communications.

The team found that the impulses were like a primitive, but very regular 
"language"-with the neuron firing at precise times depending on what the fly's 
visual sensors were trying to tell the rest of the fly about the visual 
stimulus. When they examined this language, it spoke volumes about how the 
harnessed fly reacted to its world.

"In this system, the motion-sensitive neurons emit spikes very often and very 
precisely," said Nemenman. "Historically, people have observed a lot more 
random spike intervals. This research is a departure from the traditional 
understanding in that we see that the precision of spike timing that carries 
information about the fly's rotation is a factor of ten higher than even the 
most daring previous estimates."

Similar-though-much-simpler experiments on different subjects, including flies, 
and going back to the seminal work of E. D. Adrian and Yngve Zotterman in 1926, 
seemed to show that sensory neurons would fire a certain number of impulses 
during a given period, but that the precise timing of the impulses was largely 
irrelevant. Nemenman and his team believe the timing of the spikes was not as 
crucial during those early experiments largely because the artificial 
stimulation was in some sense unnatural, bordering on the monotonous and 
predictable.

"Biological organisms have an interest in conserving energy," Nemenman said. 
"Fly eyes account for about one-tenth of the fly's energy consumption. The fly 
wants to be very efficient, but it costs energy and molecular resources to emit 
many precise spikes in the neurons.

"If you are presenting simple stimuli where little changes with time, then the 
most efficient way to encode them may be to generate few randomly positioned 
spikes, which would be sufficient to convey whatever small changes, if any, 
happened. Similarly, if the stimulus is unnaturally fast, the neurons may not 
be able to encode it well.

"However, if you put an organism in an environment with fast and naturally 
changing velocity profiles, the fly starts using all the bandwidth available to 
it," Nemenman said. "The motion-sensitive neuron adjusts its coding strategy 
and it uses the precise positioning of the spikes to tell the rest of the fly 
exactly what is happening."

In addition to the complex motions possible with the team's apparatus, they 
conducted their experiment in a wooded setting similar to the fly's natural 
environment, adding to the complexity and realism of the experiment.

Nemenman and his colleagues' research is significant because it re-examines 
fundamental assumptions that became the basis of neuromimetic approaches to 
artificial intelligence, such as artificial neural networks. These assumptions 
have developed networks based on reacting to a number of impulses within a 
given time period rather than the precise timing of those impulses.

"This may be one of the main reasons why artificial neural networks do not 
perform anywhere comparable to a mammalian visual brain," said Nemenman, who is 
a member of Los Alamos' Computer, Computational and Statistical Sciences 
Division. "In fact, the National Science Foundation has recognized the 
importance of this distinction and has recently funded a project, led by 
Garrett Kenyon of the Laboratory's Physics Division, to enable creation of 
large, next-generation neural networks."

New understanding of neural function in the design of computers could assist in 
analyses of satellite images and facial-pattern recognition in high-security 
environments, and could help solve other national and global security problems.


###
Nemenman's work on this project at Los Alamos is funded by the Laboratory 
Directed Research and Development Program, which strategically invests less 
than six percent of the institution's annual budget in early exploration or 
growth of creative scientific concepts selected at the discretion of the 
Laboratory director.

About Los Alamos National Laboratory (www.lanl.gov) 

Los Alamos National Laboratory, a multidisciplinary research institution 
engaged in strategic science on behalf of national security, is operated by Los 
Alamos National Security, LLC, a team composed of Bechtel National, the 
University of California, The Babcock & Wilcox Company, and Washington Group 
International for the Department of Energy's National Nuclear Security 
Administration. Los Alamos enhances national security by ensuring the safety 
and reliability of the U.S. nuclear stockpile, developing technologies to 
reduce threats from weapons of mass destruction, and solving problems related 
to energy, environment, infrastructure, health, and global security concerns.


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agi
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