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Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization

Author

Listed:
  • Jian K. Liu

    (University Medical Center Göttingen
    Bernstein Center for Computational Neuroscience Göttingen)

  • Helene M. Schreyer

    (University Medical Center Göttingen
    Bernstein Center for Computational Neuroscience Göttingen)

  • Arno Onken

    (Istituto Italiano di Tecnologia)

  • Fernando Rozenblit

    (University Medical Center Göttingen
    Bernstein Center for Computational Neuroscience Göttingen)

  • Mohammad H. Khani

    (University Medical Center Göttingen
    Bernstein Center for Computational Neuroscience Göttingen
    International Max Planck Research School for Neuroscience)

  • Vidhyasankar Krishnamoorthy

    (University Medical Center Göttingen
    Bernstein Center for Computational Neuroscience Göttingen)

  • Stefano Panzeri

    (Istituto Italiano di Tecnologia)

  • Tim Gollisch

    (University Medical Center Göttingen
    Bernstein Center for Computational Neuroscience Göttingen)

Abstract

Neurons in sensory systems often pool inputs over arrays of presynaptic cells, giving rise to functional subunits inside a neuron’s receptive field. The organization of these subunits provides a signature of the neuron’s presynaptic functional connectivity and determines how the neuron integrates sensory stimuli. Here we introduce the method of spike-triggered non-negative matrix factorization for detecting the layout of subunits within a neuron’s receptive field. The method only requires the neuron’s spiking responses under finely structured sensory stimulation and is therefore applicable to large populations of simultaneously recorded neurons. Applied to recordings from ganglion cells in the salamander retina, the method retrieves the receptive fields of presynaptic bipolar cells, as verified by simultaneous bipolar and ganglion cell recordings. The identified subunit layouts allow improved predictions of ganglion cell responses to natural stimuli and reveal shared bipolar cell input into distinct types of ganglion cells.

Suggested Citation

  • Jian K. Liu & Helene M. Schreyer & Arno Onken & Fernando Rozenblit & Mohammad H. Khani & Vidhyasankar Krishnamoorthy & Stefano Panzeri & Tim Gollisch, 2017. "Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization," Nature Communications, Nature, vol. 8(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00156-9
    DOI: 10.1038/s41467-017-00156-9
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    Cited by:

    1. Niru Maheswaranathan & David B Kastner & Stephen A Baccus & Surya Ganguli, 2018. "Inferring hidden structure in multilayered neural circuits," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-30, August.
    2. Eric G. Wu & Nora Brackbill & Colleen Rhoades & Alexandra Kling & Alex R. Gogliettino & Nishal P. Shah & Alexander Sher & Alan M. Litke & Eero P. Simoncelli & E. J. Chichilnisky, 2024. "Fixational eye movements enhance the precision of visual information transmitted by the primate retina," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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