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Information Rates and Optimal Decoding in Large Neural Populations
Published on Sep 06, 20122503 Views
Many fundamental questions in theoretical neuroscience involve optimal decoding and the computation of Shannon information rates in populations of spiking neurons. In this paper, we apply methods from
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Information Rates and Optimal Decoding in Large Neural Populations00:00
Biologically-relevant Intermediate signal-to-noise ratio00:30
Single neurons convey small amounts of information about the stimulus.01:19
The optimal Bayesian decoder is well-approximated by a linear function of the sufficient statistics when n is even moderately large.02:35