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

  • University of Helsinki

Research output: Contribution to journalArticleScientificpeer-review

38 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)576-587.e11
JournalNeuron
Volume104
Issue number3
DOIs
Publication statusPublished - 6 Nov 2019
MoE publication typeA1 Journal article-refereed

Funding

We thank our lab manager, Sami Minkkinen, for his extensive technical assistance; Drs. Kristian Donner, Fred Rieke, Greg Schwartz, Samer Hattar, Roozbeh Kiani, and Lauri Parkkonen for excellent comments on the manuscript; Drs. Tony Azevedo, Carter Cornwall, and Rikard Frederiksen for help with the design of the suction electrode experiments; Dr. Martta Viljanen for the design of the water maze; and Matthew Dunkerley, Sathish Narayanan, and Mark Cafaro for the design of the data acquisition software. We thank Drs. Carter Cornwall and David Farb for donating the Zeiss Invertoscope D for our suction pipette rig. We thank Drs. King-Wai Yau and Fred Rieke for the OPN mouse line. We acknowledge the computational resources provided by the Aalto Science-IT Project. Support was provided by the Academy of Finland (grants 253314 , 256156 , 283268 , and 296269 to P.A.-L.), the Sigrid Jusélius Foundation (P.A.-L.), the Emil Aaltonen Foundation (P.A.-L.), the University of Helsinki Research Foundation (L.S.), the Japan Society for the Promotion of Science (D.T.), the Ella and Georg Ehrnrooth Foundation (T.T.), the Aalto Brain Centre (ABC) (grant to J.W.), and the European Union ’s Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant 713645 to N.M.).

Keywords

  • ganglion cell
  • neural circuit
  • neural coding
  • ON and OFF pathways
  • photon detection
  • retina
  • scotopic vision
  • sensory threshold
  • tracking behavior
  • visually guided behavior

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