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Blurry image processes with computer model developed by the researchers  (Source: Center for the Neural Basis of Cognition, Pittsburgh, Pa)
Researchers prove that neurons in the olfactory bulb are not fixed and slow responding but change on the fly to stimuli

Scientists have traditionally believed that the way our brains process smells via neuron connections in the olfactory bulb was dictated by the anatomy of the olfactory bulb and could only change slowly in response to stimulus.

A new study from researchers at the Center for the Neural Basis of Cognition (CNBC), which is a joint project between Carnegie Mellon University and the University of Pittsburgh, has described a mechanism called dynamic connectivity.

Associate professor of biological sciences at Carnegie Mellon Nathan Urban describes the process like this, “If you think of the brain like a computer, then the connections between neurons are like the software that the brain is running. Our work shows that this biological software is changed rapidly as a function of the kind of input that the system receives.”

The researchers believe this ability to change neuronal circuits on the fly depending on the input is the reason we are able to walk into a room and notice a floral scent, then determine that it is certainly a floral smell and then narrow it down to the smell of roses.

To prove that the neurons do behave as the scientists predicted; a computer-modeling program was used to simulate the effects of stimuli on slices of olfactory bulb from a mouse viewed under a microscope with a water immersion objective at 20x, 40x, or 60x. The slices of mouse olfactory bulb were excited with specific excitation wavelengths in the 480 to 520nm range.  The process was also videoed with a special camera.

The researchers then created a continuous firing rate network model in MATLAB that represented a 25 x 25 array of simulated non-spiking neurons representing olfactory bulb mitral cells. The simulated cells active firing rate was represented by a continuous variable.

Using this process, Urban and other researchers on the project were able to show that lateral inhibition is enhanced by dynamic connectivity when a large number of neurons respond to a stimulus and filter out the noise from other neurons. This separation of noise from other neurons allows stimuli to be more clearly recognized and separated from other similar stimuli.



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Science-babble
By thornburg on 12/18/2007 11:42:07 AM , Rating: 2
quote:
were able to show that lateral inhibition is enhanced by dynamic connectivity


Gesundheit?

Also, really how "proven" is this, if the vast majority of what they have done is computer modeling in Mathlab?

I can make a computer that "proves" that if George W. Bush had lost the election, Hurricane Katrina would never have happened. That doesn't make it true.

Not trying to say they aren't on to something, but isn't there some more physical testing/observation they could do to prove this? Also, can they move the test on to something other than just a mouse?




RE: Science-babble
By Misty Dingos on 12/18/2007 12:10:41 PM , Rating: 4
A mouse bit my auntie once.


RE: Science-babble
By bldckstark on 12/18/2007 12:54:50 PM , Rating: 2
Did she smell like roses?


RE: Science-babble
By BladeVenom on 12/18/2007 2:08:59 PM , Rating: 3
She smelt of elderberries.


RE: Science-babble
By T4RTER S4UCE on 12/18/2007 4:09:52 PM , Rating: 2
Watched the Holy Grail lately? I suppose.


RE: Science-babble
By onwisconsin on 12/18/2007 12:55:56 PM , Rating: 3
We apologize for the fault in the subtitles. Those responsible have been sacked.


RE: Science-babble
By BladeVenom on 12/18/2007 2:07:27 PM , Rating: 2
The directors of the firm hired to continue the credits after the other people had been sacked, wish it to be known that they have just been sacked.


RE: Science-babble
By augiem on 12/19/2007 3:25:15 PM , Rating: 2
Just how much bandwidth is wasted on the endless stream of pop-culture references?


RE: Science-babble
By derwin on 12/19/2007 10:57:51 AM , Rating: 2
I don't know crap about neurology, but I do know that you can use a computer to solve certain problems backwards, and prove it to within a certain statistical certainty.
Probably what they did was create a model of what they though happened, and ran it, and it turned out the model acted exactly the same as the real thing. You need to do a lot of statistical calculations to determine how "proven" this makes your claim, but with those calculations, it is not unfair to say they proved it.


Mathlab?
By keiclone on 12/18/2007 12:07:50 PM , Rating: 3
don't you mean MATLAB?




RE: Mathlab?
By Snipester on 12/18/2007 12:14:55 PM , Rating: 4
Thats what i thought. When i glanced over it, it looked sort of like methlab to me.


RE: Mathlab?
By Rotkiv on 12/18/07, Rating: 0
RE: Mathlab?
By ninjit on 12/18/2007 12:31:33 PM , Rating: 2
Reply to the wrong post much?


RE: Mathlab?
By Wolfgang Hansson on 12/18/2007 12:22:33 PM , Rating: 2
Yes actually I did mean MATLAB.


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