IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1006566.html
   My bibliography  Save this article

Modulation of voltage-dependent K+ conductances in photoreceptors trades off investment in contrast gain for bandwidth

Author

Listed:
  • Francisco J H Heras
  • Mikko Vähäsöyrinki
  • Jeremy E Niven

Abstract

Modulation is essential for adjusting neurons to prevailing conditions and differing demands. Yet understanding how modulators adjust neuronal properties to alter information processing remains unclear, as is the impact of neuromodulation on energy consumption. Here we combine two computational models, one Hodgkin-Huxley type and the other analytic, to investigate the effects of neuromodulation upon Drosophila melanogaster photoreceptors. Voltage-dependent K+ conductances in these photoreceptors: (i) activate upon depolarisation to reduce membrane resistance and adjust bandwidth to functional requirements; (ii) produce negative feedback to increase bandwidth in an energy efficient way; (iii) produce shunt-peaking thereby increasing the membrane gain bandwidth product; and (iv) inactivate to amplify low frequencies. Through their effects on the voltage-dependent K+ conductances, three modulators, serotonin, calmodulin and PIP2, trade-off contrast gain against membrane bandwidth. Serotonin shifts the photoreceptor performance towards higher contrast gains and lower membrane bandwidths, whereas PIP2 and calmodulin shift performance towards lower contrast gains and higher membrane bandwidths. These neuromodulators have little effect upon the overall energy consumed by photoreceptors, instead they redistribute the energy invested in gain versus bandwidth. This demonstrates how modulators can shift neuronal information processing within the limitations of biophysics and energy consumption.Author summary: The properties of neurons and neural circuits can be adjusted by neuromodulators, molecules that alter their ability to respond to future activity. Many neuromodulators target voltage-dependent ion channels, molecular components of cell membranes that influence the electrical activity of neurons. Because of their importance, the action of neuromodulators upon voltage-dependent ion channels and the subsequent changes in neural activity has been studied extensively. However, the properties of voltage-dependent ion channels also influence the energy that neural signalling consumes. Here we assess the impact of neuromodulators upon neuronal energy consumption. We use analytical and computational models to determine the impact of different neuromodulators upon the signalling properties and energy consumption of fly photoreceptors. Our models uncover previously unknown properties of voltage-dependent ion channels in fly photoreceptors, showing how they adjust the membrane properties, gain and bandwidth, to prevailing light levels. Neuromodulators alter voltage-dependent ion channel properties, adjusting the gain and bandwidth. Although neuromodulators do not substantially alter the overall energy consumption of photoreceptors, they redistribute energy investment in gain and bandwidth. Hence, our models provide novel insights into the functions that neuromodulators play in neurons and neural circuits.

Suggested Citation

  • Francisco J H Heras & Mikko Vähäsöyrinki & Jeremy E Niven, 2018. "Modulation of voltage-dependent K+ conductances in photoreceptors trades off investment in contrast gain for bandwidth," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-33, November.
  • Handle: RePEc:plo:pcbi00:1006566
    DOI: 10.1371/journal.pcbi.1006566
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006566
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006566&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1006566?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jeremy E. Niven & Mikko Vähäsöyrinki & Mika Kauranen & Roger C. Hardie & Mikko Juusola & Matti Weckström, 2003. "The contribution of Shaker K+ channels to the information capacity of Drosophila photoreceptors," Nature, Nature, vol. 421(6923), pages 630-634, February.
    2. Dax A. Hoffman & Jeffrey C. Magee & Costa M. Colbert & Daniel Johnston, 1997. "K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons," Nature, Nature, vol. 387(6636), pages 869-875, June.
    3. Biswa Sengupta & Simon Barry Laughlin & Jeremy Edward Niven, 2014. "Consequences of Converting Graded to Action Potentials upon Neural Information Coding and Energy Efficiency," PLOS Computational Biology, Public Library of Science, vol. 10(1), pages 1-18, January.
    4. Michael P. Nusbaum & Mark P. Beenhakker, 2002. "A small-systems approach to motor pattern generation," Nature, Nature, vol. 417(6886), pages 343-350, May.
    5. Dax A. Hoffman & Jeffrey C. Magee & Costa M. Colbert & Daniel Johnston, 1997. "Erratum: K+channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons," Nature, Nature, vol. 390(6656), pages 199-199, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Yaru & Liu, Shenquan & Zhan, Feibiao & Zhang, Xiaohan, 2020. "Firing patterns of the modified Hodgkin–Huxley models subject to Taylor ’s formula," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    2. J. Gerard Wolff, 2019. "Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition," Complexity, Hindawi, vol. 2019, pages 1-38, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1006566. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.