Subject:
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Re: An Idea for new Mindstorms - event potential?
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Newsgroups:
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lugnet.robotics
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Date:
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Tue, 28 Jun 2005 23:44:35 GMT
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Original-From:
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jp4space@portugalmail/avoidspam/.com
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Viewed:
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1572 times
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Citando Steve Baker <sjbaker1@airmail.net>:
Justin wrote:
> A fly can land on the ceiling not
> because it is smart (it isn't), but because it's body is built such that
the
> laws of physics themselves automate a process that would be prohibitively
> complex to compute, etc etc).
Don't be too hard on the fly's brain. A housefly has about a third of a
million neurons.
If you think of a neuron as being about the power of a transistor - then
there is a computer that's more complex than a 386 - but less complex than
a 486.
If you think of a neuron as being an entire logic gate (which is probably
closer
to the truth), then the raw part count is about as powerful as an early
Pentium.
Neurons are slower than computer logic gates - but that's more than
compensated
for by the enormous degree of connectivity and parallelism in an animal
brain.
Overall, a common housefly probably has more available compute power than
a modern desktop PC.
---------------------------- Steve Baker -------------------------
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WOOOWW!!! I'll be paying a lot more attention to flies after reading this!
I can barely wait to see a blue screen on a fly ;) do flies have
ctrl+alt+del ? ;)
keep posting about the flies... ;) i'm really interested! i'm taking biology
next year... =P
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Message has 1 Reply:
 | | Re: An Idea for new Mindstorms - event potential?
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| (...) I've been interested in estimates of insect (& arachnid) brain power for some time, with neuron counts, up-to-date analysis of cognitive abilities, etc. For some reason I've found this material hard to find online. Any references would be (...) (19 years ago, 3-Jul-05, to lugnet.robotics)
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Message is in Reply To:
| | Re: An Idea for new Mindstorms - event potential?
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| Justin wrote: > A fly can land on the ceiling not (...) Don't be too hard on the fly's brain. A housefly has about a third of a million neurons. If you think of a neuron as being about the power of a transistor - then there is a computer that's more (...) (19 years ago, 29-Jun-05, to lugnet.robotics)
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