Paradoxical Rules of Spike Train Decoding Revealed at the Sensitivity Limit of Vision

openaire: EC/H2020/713645/EU//BioMEP All sensory information is encoded in neural spike trains. It is unknown how the brain utilizes this neural code to drive behavior. Here, we unravel the decoding rules of the brain at the most elementary level by linking behavioral decisions to retinal output signals in a single-photon detection task. A transgenic mouse line allowed us to separate the two primary retinal outputs, ON and OFF pathways, carrying information about photon absorptions as increases and decreases in spiking, respectively. We measured the sensitivity limit of rods and the most sensitive ON and OFF ganglion cells and correlated these results with visually guided behavior using markerless head and eye tracking. We show that behavior relies only on the ON pathway even when the OFF pathway would allow higher sensitivity. Paradoxically, behavior does not rely on the spike code with maximal information but instead relies on a decoding strategy based on increases in spiking. Smeds et al. combine retinal ganglion cell recordings with markerless tracking of mouse behavior in photon detection. They show that behavior relies on information presented as increased spiking activity rather than the spike code carrying the maximal information.