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  • Open Access

Modeling ripple oscillations in the hippocampus

BMC Neuroscience201314 (Suppl 1) :P208

https://doi.org/10.1186/1471-2202-14-S1-P208

  • Published:

Keywords

  • Memory Consolidation
  • Local Field Potential
  • Excitatory Synaptic Transmission
  • Inhibitory Conductance
  • Inhibitory Coupling

Sharp wave-ripples (SWRs) are highly synchronous network events displayed by the mammalian hippocampus during slow-wave sleep and immobile resting periods. A SWR event (~100 ms duration) is characterized by fast network oscillations (~200 Hz "ripples") superimposed by a sharp wave, which is a large-amplitude, low-frequency (<10 Hz) signature in the local field potential of the hippocampal CA1 region. Such events are involved in memory consolidation. Understanding the mechanisms that give rise to SWRs can help us to gain insights on the computations being implemented during memory consolidation.

Despite a large amount of electrophysiological data on SWRs in vivo (e.g. [1]) and in vitro (e.g. [24]) and many computational models (e.g. [5] and [6]), the basic mechanisms behind SWR generation remain elusive. Regarding the origin of the high-frequency ripple component during SWRs, two (not mutually exclusive) generative mechanisms have been proposed: First, a rhythmic output of a network of principal cells coupled by gap junctions, presumably between axons of pyramidal cells [5]. Second, an interneuron network coupled by chemical synapses that modulates the firing of pyramidal cells [6]. Modeling studies showed that both mechanisms can give rise to a prominent ripple component in the 200 Hz range. These two mechanisms could not only coexist but also be differentially expressed during SWR generation.

Here we explore the oscillatory behavior of an in-silico model of a CA1 interneuron network to mimic in-vitro recordings from CA1 slices in which excitatory synaptic transmission is blocked and SWRs are induced by application of brief potassium puffs, which transiently excite neurons [3]. In such a preparation, the two proposed ripple generating mechanisms are decoupled and can be studied in isolation. Focusing on a model of a random interneuron network, we found that the power of ripple oscillations is stable for a wide range of the strength of the recurrent inhibitory coupling. A reduction of inhibitory conductance leads to a slight increase in network frequency, which is in line with [4]. Furthermore, larger reductions of inhibitory coupling leads to an abrupt decay of ripple power (see also [3]). Thus, some of the phenomenology of SWRs in vitro can be described in terms of chemical synaptic inhibition.

Declarations

Acknowledgements

Supported by BMBF grants no. 01GQ1001A and 01GQ0972 and by the DFG (SFB 618).

Authors’ Affiliations

(1)
Bernstein Center for Computational Neuroscience Berlin, 10115 Berlin, Germany
(2)
Institute for Theoretical Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany

References

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Copyright

© Donoso et al; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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