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Spike Train decoding. Spike Train decoding. Spike Train decoding. Summary. Decoding of stimulus from response Two choice case Discrimination ROC curves Population decoding MAP and ML estimators Bias and variance Fisher information, Cramer-Rao bound Spike train decoding. Chapter 4.
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Summary Decoding of stimulus from response Two choice case Discrimination ROC curves Population decoding MAP and ML estimators Bias and variance Fisher information, Cramer-Rao bound Spike train decoding
Mutual information H_noise< H
Entropy of spike trains • Spike train mutual information measurements quantify stimulus specific aspects of neural encoding. • Mutual information of bullfrog peripheral auditory neurons was estimated • 1.4 bits/sec for broadband noise stimulus • 7.8 bits/sec for bullfrog call-like stimulus
Summary • Information theory quantifies how much a response says about a stimulus • Stimulus, response entropy • Noise entropy • Mutual information, KL divergence • Maximizing information transfer yields biological receptive fields • Factorial codes • Equalization • Whitening • Spike train mutual information