M-type potassium conductance controls the emergence of neural phase codes: a combined experimental and neuron modelling study

Jeehyun Kwag, Hyun J ae Jang, Mincheol Kim, Sujeong Lee

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Rate and phase codes are believed to be important in neural information processing. Hippocampal place cells provide a good example where both coding schemes coexist during spatial information processing. Spike rate increases in the place field, whereas spike phase precesses relative to the ongoing theta oscillation. However, what intrinsic mechanism allows for a single neuron to generate spike output patterns that contain both neural codes is unknown. Using dynamic clamp, we simulate an in vivo-like subthreshold dynamics of place cells to in vitro CA1 pyramidal neurons to establish an in vitro model of spike phase precession. Using this in vitro model, we show that membrane potential oscillation (MPO) dynamics is important in the emergence of spike phase codes: blocking the slowly activating, non-inactivating K+ current (IM), which is known to control subthreshold MPO, disrupts MPO and abolishes spike phase precession. We verify the importance of adaptive IM in the generation of phase codes using both an adaptive integrate-and-fire and a Hodgkin-Huxley (HH) neuron model. Especially, using the HH model, we further show that it is the perisomatically located IM with slow activation kinetics that is crucial for the generation of phase codes. These results suggest an important functional role of IM in single neuron computation, where IM serves as an intrinsic mechanism allowing for dual rate and phase coding in single neurons.

Original languageEnglish
JournalJournal of the Royal Society Interface
Volume11
Issue number99
DOIs
Publication statusPublished - 2014 Oct 6

Keywords

  • hippocampus
  • neural codes
  • oscillation
  • potassium channel

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biophysics
  • Biochemistry
  • Biomaterials
  • Biomedical Engineering

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