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    Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: Application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input

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    Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input (195.5Kb)

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    26
    Author
    Kuhlmann, L; Burkitt, AN; Paolini, A; Clark, GM
    Date
    2002-01-01
    Source Title
    JOURNAL OF COMPUTATIONAL NEUROSCIENCE
    Publisher
    SPRINGER
    University of Melbourne Author/s
    Kuhlmann, Levin; Burkitt, Anthony; Paolini, Antonio; Clark, Graeme
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Kuhlmann, L., Burkitt, A. N., Paolini, A. & Clark, G. M. (2002). Summation of spatiotemporal input patterns in leaky integrate-and-fire neurons: Application to neurons in the cochlear nucleus receiving converging auditory nerve fiber input. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 12 (1), pp.55-73. https://doi.org/10.1023/A:1014994113776.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/27604
    DOI
    10.1023/A:1014994113776
    Description

    © 2002 Kluwer Academic Publishers. This is a publisher’s version of an article whose final and definitive form has been published in the Journal of Computational Neuroscience, 12, 55-73. http://www.springerlink.com.ezp.lib.unimelb.edu.au/content/v4w2dyregx3df1fj/ This article is reproduced with kind permission of Springer Science and Business Media.

    Abstract
    The response of leaky integrate-and-fire neurons is analyzed for periodic inputs whose phases vary with their spatial location. The model gives the relationship between the spatial summation distance and the degree of phase locking of the output spikes (i.e., locking to the periodic stochastic inputs, measured by the synchronization index). The synaptic inputs are modeled as an inhomogeneous Poisson process, and the analysis is carried out in the Gaussian approximation. The model has been applied to globular bushy cells of the cochlear nucleus, which receive converging inputs from auditory nerve fibers that originate at neighboring sites in the cochlea. The model elucidates the roles played by spatial summation and coincidence detection, showing how synchronization decreases with an increase in both frequency and spatial spread of inputs. It also shows under what conditions an enhancement of synchronization of the output relative to the input takes place.
    Keywords
    spatiotemporal summation; synchronization; auditory pathway; integrate-and-fire neuron; temporal coding

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