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This article is part of the supplement: Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access Poster presentation

Role of ICAN in rate, spike time, and theta phase coding by persistent spiking neurons of the medial entorhinal cortex

Nathan W Schultheiss1*, Erik Fransen2 and Michael E Hasselmo1

Author Affiliations

1 Department of Psychology, Center for Memory and Brain, Boston University, Boston, Massachusetts 02215, USA

2 School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden

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BMC Neuroscience 2011, 12(Suppl 1):P140  doi:10.1186/1471-2202-12-S1-P140

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/12/S1/P140


Published:18 July 2011

© 2011 Schultheiss et al; licensee 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.

Poster presentation

Persistent spiking neurons of the medial entorhinal cortex (mEC) exhibit bistability in that they are quiescent in the absence of synaptic or applied currents, but can be switched to a stable spiking state by a brief, strong depolarizing input. The spiking state is thought to be maintained by a positive feedback loop between a nonspecific calcium-sensitive cationic current (ICAN) carried by TRPC membrane channels and heightened intracellular calcium levels sustained during sufficiently fast spiking. Persistent spiking neurons in layer V of mEC are capable of sustaining a continuous range of stable spiking frequencies and can be switched to higher or lower frequencies by additional strong depolarizing or hyperpolarizing pulses, respectively1. This ability to generate graded persistent spiking has been hypothesized to underlie aspects of working memory, but it remains unclear if and to what extent persistent spiking is robust to the considerable fluctuating synaptic conductance that would be expected in vivo. Furthermore, the contribution of ICAN to the input-output processing of these neurons has not been evaluated. In this study we use a multi-compartmental GENESIS model of a layer V mEC neuron2 to investigate how ICAN might contribute to rate, spike time, and theta phase coding in these neurons. In the absence of synaptic inputs, we vary either an applied holding current or the magnitude of a 1 second current pulse delivered to the base model or to a version of the model from which ICAN has been removed. We then evaluate the spike frequency to applied current relationship at different time-points over the next 10 seconds. To explore the potential role of ICAN in spike time coding we deliver a 500 pA, 1 second current pulse during ongoing stochastic backgrounds composed of 1 nS AMPA and GABA synaptic events delivered to the soma. These backgrounds are intended to represent the in vivo high conductance state. We then evaluate the spike-triggered average (STA) of the CAN current before and after the pulse. We also derive the STAs of voltage (mean spike shape) and AMPA and GABA input conductances to evaluate how activation of ICAN might affect spike threshold and sensitivity to synaptic input fluctuations. Lastly, we delivered theta modulated synaptic input to the model and evaluate the preferred firing phase of the model for different levels of ICAN activation. We find that: 1) ICAN shapes the spike frequency to current relationship in a time-dependent manner; 2) The CAN current can support long-lasting elevated firing rates following strong excitation amidst ongoing stochastic synaptic activity; 3) Activation of the CAN current with a current pulse increases sensitivity to future synaptic input fluctuations; 4) Increased sensitivity is long-lasting and is greater for stronger pulses, allowing the CAN current to act as an intrinsic gain control mechanism.

References

  1. Egorov AV, Hamam BN, Fransen E, Hasselmo ME, Alonso AA: .

    Nature 2002, 420(14):173-178. PubMed Abstract | Publisher Full Text OpenURL

  2. Fransen E, Tahvildari B, Egorov AV, Hasselmo ME, Alonso AA: .

    Neuron 2006, 49:735-746. PubMed Abstract | Publisher Full Text OpenURL