4_7_09_PopulationDecoding_1

4_7_09_PopulationDecoding_1 - In a black-box model, we try...

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In a black-box model, we try to describe a system well enough to predict its responses without knowing what is inside the system.
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In this example, the stimulus was a motion of varying speed (A), responses were spikes (B), and experimenters estimated firing rate (C).
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If the firing is different when one presents the same stimulus twice, then how does the brain know what is in the stimulus?
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In other words, how does the brain decode the response?
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Brain measure- ments typically depends on a population code, using the relative firing of multiple cells.
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The cricket cercal system uses the firing ( r i ) of four neurons ( ) to detect wind direction ( ). c i v
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The four neurons in the cricket cercal system fire noisily, complicating the decoding process.
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The cricket cercal system uses the firing ( r i ) of four neurons ( ) to detect wind direction ( ). c i v
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If the relative firing of a neuron is f s ( ) r max a = v c a [ ] + then population-vector decoding is v pop = r r max a c a a = 1 4
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r i ) of four neurons ( ) to detect wind direction ( ). c
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This note was uploaded on 06/08/2009 for the course BME 575L taught by Professor Grzywacz during the Spring '09 term at USC.

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4_7_09_PopulationDecoding_1 - In a black-box model, we try...

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