Volume 12 Supplement 1

Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access

Burst dynamics enable contrast coding via synchrony

BMC Neuroscience201112(Suppl 1):P34

DOI: 10.1186/1471-2202-12-S1-P34

Published: 18 July 2011

Neurons in various sensory systems respond to stimuli with a variety of action potential patterns including isolated action potentials and bursts (i.e. high frequency groups of action potentials). There is accumulating evidence that, instead of being just a collection of action potentials, bursts are instead a specific pattern that signals stimulus attributes that are distinct than those signaled by isolated action potentials [1]. Specifically, it has been proposed that synchronous bursts can signal the occurrence of certain stimuli [2] and encode higher order stimulus attributes such as contrast [3]. Here we test experimentally whether synchronous activity in a population of neurons can encode a time varying stimulus contrast. To do so, we performed intracellular recordings of the activity of electrosensory pyramidal cells in-vitro. These cells have been well characterized and previous studies have shown that they tonically fire isolated action potentials under control conditions but that application of the neuromodulator serotonin (5-HT) can cause them to transition into a burst firing mode [4]. As such, we tested the information transmission capabilities of these cells about stimulus contrast in both modes. To do so, we provided the cells with a time-varying stimulus and investigated how the number of synchronous spikes correlates with stimulus contrast. We found that synchrony had a larger dependence on stimulus contrast in pyramidal cells after 5-HT injection than under control conditions. These experimental results agree with the predictions of the model presented in [2]. Furthermore, we developed a mathematical theory that supports our experimental results and proposes that the change in coding properties between bursting and non-bursting neurons is solely attributed to the higher baseline response variability as quantified by the coefficient of variation (CV) present in bursting neurons. Our experimental results therefore show that bursting neurons are more apt at coding stimulus contrast through synchronous firing than tonic ones. Moreover, our theoretical results suggest that this occurs because burst dynamics introduce variability in the responses of single neurons. The latter is supported by the fact that bursting neurons with the highest CVs showed the greatest dependency on stimulus contrast in their synchronous activities. Our results thus provide the first experimental evidence that bursting neurons can code for stimulus contrast via their synchronous activity and provide a novel function for burst dynamics.

Authors’ Affiliations

(1)
Department of Physics, McGill University
(2)
Department of Physiology, McGill University

References

  1. Oswald AM, Chacron MJ, Doiron B, Bastian J, Maler L: Parallel processing of sensory input by bursts and isolated spikes. Journal of Neuroscience. 2004, 24: 4351-4362. 10.1523/JNEUROSCI.0459-04.2004.View ArticlePubMedGoogle Scholar
  2. Marsat G, Proville RD, Maler L: Transient signals trigger synchronous bursts in an identified population of neurons. Journal of Neurophysiology. 2009, 102 (2): 714-723. 10.1152/jn.91366.2008.View ArticlePubMedGoogle Scholar
  3. Ávila-Åkerberg O, Chacron MJ: Coding signal strength by correlated activity in bursting neurons. BioMed Central Neuroscience. 2010, 11: F3.Google Scholar
  4. Deemyad T, Maler L, Chacron MJ: Inhibition of SK and M channel mediated currents by 5-HT enables parallel processing by bursts and isolated spikes. Journal of Neurophysiology. 2011, doi10.1152/jn.00792.2010Google Scholar

Copyright

© Åkerberg and Chacron; licensee BioMed Central Ltd. 2011

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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