4_7_09_PopulationDecoding_1

4_7_09_PopulationDecoding_1 - Outline of the Lecture...

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Unformatted text preview: Outline of the Lecture Outline of the Lecture Population Decoding Population Decoding Population Code Population-vector Bayesian Population Code Population-vector Bayesian Decoding Decoding Different Decoding Different Decoding Schemes Lead to Different Schemes Lead to Different Accuracies of Measurement Accuracies of Measurement In a black-box model, we try to describe a system well enough to predict its responses without knowing what is inside the system. In this example, the stimulus was a motion of varying speed (A), responses were spikes (B), and experimenters estimated firing rate (C). If the firing is different when one presents the same stimulus twice, then how does the brain know what is in the stimulus? In other words, how does the brain decode the response? Brain measure- ments typically depends on a population code, using the relative firing of multiple cells. The cricket cercal system uses the firing ( r i ) of four neurons ( ) to detect wind direction ( )....
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4_7_09_PopulationDecoding_1 - Outline of the Lecture...

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