Spike temporal correlations are useful for high-pass nonlinear decoding and low-pass decoding. (A) Schematic of the shuffling of time bins and units' responses across repeated stimuli trials. (B) Ratio increases in MSE for neural network and linear decoders for high-pass and low-pass images before and after removing spike train correlations. While temporal correlations are important for both decoders in low-pass decoding, only the neural network decoder is reliant on temporal correlations in high-pass decoding. Cross-neuronal correlations are not crucial for both decoders in either decoding scheme.
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