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Theta Frequency Background Tunes Transmission but Not Summation of Spiking Responses

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  • Dhanya Parameshwaran
  • Upinder S Bhalla

Abstract

Hippocampal neurons are known to fire as a function of frequency and phase of spontaneous network rhythms, associated with the animal's behaviour. This dependence is believed to give rise to precise rate and temporal codes. However, it is not well understood how these periodic membrane potential fluctuations affect the integration of synaptic inputs. Here we used sinusoidal current injection to the soma of CA1 pyramidal neurons in the rat brain slice to simulate background oscillations in the physiologically relevant theta and gamma frequency range. We used a detailed compartmental model to show that somatic current injection gave comparable results to more physiological synaptically driven theta rhythms incorporating excitatory input in the dendrites, and inhibitory input near the soma. We systematically varied the phase of synaptic inputs with respect to this background, and recorded changes in response and summation properties of CA1 neurons using whole-cell patch recordings. The response of the cell was dependent on both the phase of synaptic inputs and frequency of the background input. The probability of the cell spiking for a given synaptic input was up to 40% greater during the depolarized phases between 30–135 degrees of theta frequency current injection. Summation gain on the other hand, was not affected either by the background frequency or the phasic afferent inputs. This flat summation gain, coupled with the enhanced spiking probability during depolarized phases of the theta cycle, resulted in enhanced transmission of summed inputs during the same phase window of 30–135 degrees. Overall, our study suggests that although oscillations provide windows of opportunity to selectively boost transmission and EPSP size, summation of synaptic inputs remains unaffected during membrane oscillations.

Suggested Citation

  • Dhanya Parameshwaran & Upinder S Bhalla, 2013. "Theta Frequency Background Tunes Transmission but Not Summation of Spiking Responses," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-12, January.
  • Handle: RePEc:plo:pone00:0055607
    DOI: 10.1371/journal.pone.0055607
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    References listed on IDEAS

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    1. M. R. Mehta & A. K. Lee & M. A. Wilson, 2002. "Role of experience and oscillations in transforming a rate code into a temporal code," Nature, Nature, vol. 417(6890), pages 741-746, June.
    2. Kenneth D. Harris & Jozsef Csicsvari & Hajime Hirase & George Dragoi & György Buzsáki, 2003. "Organization of cell assemblies in the hippocampus," Nature, Nature, vol. 424(6948), pages 552-556, July.
    3. Laura Lee Colgin & Tobias Denninger & Marianne Fyhn & Torkel Hafting & Tora Bonnevie & Ole Jensen & May-Britt Moser & Edvard I. Moser, 2009. "Frequency of gamma oscillations routes flow of information in the hippocampus," Nature, Nature, vol. 462(7271), pages 353-357, November.
    4. Thilo Womelsdorf & Pascal Fries & Partha P. Mitra & Robert Desimone, 2006. "Gamma-band synchronization in visual cortex predicts speed of change detection," Nature, Nature, vol. 439(7077), pages 733-736, February.
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