Skip to main content
SpringerLink
Log in

Modeling of a Developing Planar Network of Cortical Neurons for Studying the Effects of Pharmacologically Modified Synaptic Connectivity on Cell Rhythmogenesis

  • Published:
Neurophysiology Aims and scope

Abstract

A software tool for studying neural networks grown on planar substrates is described. The tool provides: (i) modeling the neuritic fields of individual neurons and their dynamic connectivity, (ii) creation of templates, “cloning” and connecting multiple instances of the neurons, (iii) computing the cellular electrical activity and Ca2+ dynamics, and (iv) estimating synchronization of the networked cells. Examples are shown of employing this tool for the study of synchronization of burst discharges in a network of the cortical neurons, whose connectivity is modified by neuropsin.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  1. Y. Kamioka, E. Maeda, Y. Jimbo, et al., “Spontaneous periodic synchronized bursting during formation of mature patterns of connections in cortical cultures,” Neurosci. Lett., 206, 109–112 (1996).

    Google Scholar 

  2. Y. Jimbo, T. Tateno, and H. P. C. Robison, “Simultaneous induction of pathway specific potentiation and depression in networks of cortical neurons,” Biophys. J., 76, 670–678 (1999).

    Google Scholar 

  3. M. A. Dent, Y. Sumi, R. J. Morris, et al., “Urokinase-type plasminogen activator expression by neurons and oligodendrocytes during process outgrowth in developing rat brain,” Eur. J. Neurosci., 5, 633–647 (1993).

    Google Scholar 

  4. C. M. Muller and C. B. Griesinger, “Tissue plasminogen activator mediates reverse occlusion plasticity in visual cortex,” Nat. Neurosci., 1, 47–53 (1998).

    Google Scholar 

  5. Z.-L. Chen, S. Yoshida, K. Kato, et al., “Expression and activity-dependent changes of a novel limbic-specific serine protease gene in the hippocampus,” J. Neurosci., 15, 5088–5097 (1995).

    Google Scholar 

  6. K. Kato, T. Kishi, T. Kamachi, et al., “Serine proteinase inhibitor 3 and murinoglobulin I are potent inhibitors of neuropsin in adult mouse brain,” Biol. Chem., 276,No. 18, 14562–14571 (2001).

    Google Scholar 

  7. S. Komai, T. Matsuyama, K. Matsumoto, et al., “Neuropsin regulates an early phase of Schaffer-collateral long-term potentiation in the murine hippocampus,” Eur. J. Neurosci., 12, 1479–1486 (2000).

    Google Scholar 

  8. P. F. Pinsky and J. Rinzel, “Synchrony measures for biological neural networks,” Biol. Cybern., 73, 129–137 (1995).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dnepropetrovsk Division of the International Center for Molecular Physiology, National Academy of Sciences of Ukraine, Dnepropetrovsk National University, Ukraine

    A. V. Samarin & S. M. Korogod

  2. Nara Institute of Science and Technology, Ikoma City, Nara Prefecture, Japan

    Y. Igarashi

Authors
  1. A. V. Samarin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y. Igarashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. M. Korogod
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. M. Korogod.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Samarin, A.V., Igarashi, Y. & Korogod, S.M. Modeling of a Developing Planar Network of Cortical Neurons for Studying the Effects of Pharmacologically Modified Synaptic Connectivity on Cell Rhythmogenesis. Neurophysiology 34, 219–221 (2002). https://doi.org/10.1023/A:1020775905501

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1020775905501

Search

Navigation