First Movie of an Entire Brain's Neuronal Activity
KentuckyFC (1144503) writes "One of the goals of neuroscience is to understand how brains process information and generate appropriate behaviour. A technique that is revolutionising this work is optogenetics--the ability to insert genes into neurons that fluoresce when the neuron is active. That works well on the level of single neurons but the density of neurons in a brain is so high that it has been impossible to tell them apart when they fluoresce. Now researchers have solved this problem and proved it by filming the activity in the entire brain of a nematode worm for the first time and making the video available. Their solution comes in two parts. The first is to ensure that the inserted genes only fluoresce in the nuclei of the neurons. This makes it much easier to tell individual neurons in the brain apart. The second is a new techniques that scans the entire volume of the brain at a rate of 80 frames per second, fast enough to register all the neuronal activity within it. The researchers say their new technique should allow bigger brains to be filmed in the near future, opening up the potential to study how various creatures process information and trigger an appropriate response for the first time."
So many questions.
Could a complete mapping of the neural network be accomplished?
Would it be possible to artificially trigger a neuron to verify the mapping?
If that captures everything, that's the interesting part to me(though I'm sure it's been known to actual neurologists forever). That means the "clock speed" of the human brain is really really really really low, more or less, right? Like our consciousness is pretty much exclusively the result of massive parallelism?
Here you go, direct link to the YouTube upload.
Do neurons just fire or not fire in a binary fashion, or are there different levels/voltages of on and off?
And we finally know what nematodes are thinking: http://i1.ytimg.com/vi/GpEDsoZ...
There is no clock speed. It is asynchronous and analog. Even if it had some kind of natural timing to it, some things will fire faster others slower. Chained signals will have delays along the path. The result is something without any clock speed with operations happening at the speed of analog (as fine grained as the physics allows... so in other words, crazy fast to capture it all in digital.)
Absolute precision will not be required just as analog audio doesn't need to be converted at the rate the individual molecules move and as they differ -- that level of detail is "noise" even if it is not actual random noise. You can get plenty good approximations with a decent sampling rate... but for this kind of stuff I doubt it's even 200Hz let alone 80Hz. The degree of the signal sent by neurons is not binary... so if you were thinking maybe it's 8bits... somehow I can't see how creatures which can hear better than 8bit 11 Khz audio would think at a slower rate. (ok i realize the ear is physically doing the FFT so the brain only gets the spectrum.)
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Its amazing:
For example a human can recognize the picture of another person in about 100 ms. Given the processing time of 1 ms for an individual neuron this implies that a certain number of neurons, but less than 100, are involved in serial; whereas the complexity of the task is evidence for a parallel processing, because a difficult recognition task can not be performed by such a small number of neurons, example taken from [zell94, p24,]. This phenomenon is known as the 100-step-rule.