Volume 11 Supplement 1

Nineteenth Annual Computational Neuroscience Meeting: CNS*2010

Open Access

Synaptic activity and excitability modulates information transfer in Purkinje cells: a modeling study

BMC Neuroscience201011(Suppl 1):P165

DOI: 10.1186/1471-2202-11-S1-P165

Published: 20 July 2010

Dendritic excitability is the consequence of the different concentration and distribution of active conductances. The excitability of the cell could be a mechanism for storing memories and is affected by development and experience. Information in Purkinje cells (PCs) flows from dendrites to soma without the influence of backpropagating action potentials. Thus, PCs are ideal to quantify the incremental contribution of dendritic channels to information processing.

We used a previously published PC model [1, 2]. The model was stimulated with several combinations of excitatory and inhibitory rates of synaptic activity (EIr). Since our objective was to quantify information processing in dendrites we chose EIr to evoke the same firing rate at the soma. The simulations were run for 400 s; the total current of all the synaptic and dendritic channels was recorded every 0.1 ms; and were implemented in a pre-release version of GENESIS 3 (http://www.genesis-sim.org/; http://www.cbi.utsa.edu).

We quantified the effects of several EIr on the histogram of each dendritic current. We found that only the histograms of the CaP (ICaP) and Kc currents (IKc) varied, while all others remained constant. The source of this variability comes from the synaptic activity and from interactions among channels. We used mutual information (MI) to quantify the information from the total excitatory synaptic current (IGlu) encoded in each dendritic current. In this context, each active current was considered an information channel. MI(ICaP, IGlu) and MI(IKc, IGlu) was sensitive to different EIr that resulted in the same firing rate at the soma. We quantified the changes in MI(ICaP, IGlu) and MI(IKc, IGlu) as a function of the density of dendritic conductances (gCaP and gKc). This analysis showed that MI(ICaP, IGlu) was less sensitive to changes in gCaP than to variations in gKc. Thus, the interactions between IKc and ICaP are important to regulate information transfer in the dendrite. We extended our analysis to determine MI(ICaP(t) or IKc(t), IGlu(t-Δt)), for Δt from 0 to 1 s and as a function of channel density and EIr. We found that MI decayed in about 100 ms as a function of the combination of gCaP and gKc with the level of synaptic activity, reducing this window to a few milliseconds with high rates of EIr. Overall, our results show that different dendritic conductances differentially encode synaptic activity and that dendritic excitability and the level of synaptic activity regulate the flow of information in dendrites.

Declarations

Acknowledgements

UTSA-TRAC and NSF HRD-0932339.

Authors’ Affiliations

(1)
Biology Department and Neurosciences Institute, University of Texas at San Antonio
(2)
University of Texas Health Science Center at San Antonio

References

  1. De Schutter E, Bower JM: An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses. J Neurophysiol. 1994, 71 (1): 401-419.PubMedGoogle Scholar
  2. Santamaria F, Tripp PG, Bower JM: Feedforward inhibition controls the spread of granule cell-induced Purkinje cell activity in the cerebellar cortex. J Neurophysiol. 2007, 97 (1): 248-263. 10.1152/jn.01098.2005.View ArticlePubMedGoogle Scholar

Copyright

© Santamaria et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd.

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