Literature DB >> 8388041

A model of graded synaptic transmission for use in dynamic network simulations.

E De Schutter1, J D Angstadt, R L Calabrese.   

Abstract

1. The heartbeat central pattern-generating network of the medicinal leech contains elemental neural oscillators, comprising reciprocally inhibitory pairs of segmental heart interneurons, that use graded as well as spike-mediated synaptic transmission. We are in the process of developing a general computer model of this pattern generator. Our modeling goal is to explore the interaction of membrane currents and synaptic transmission that promote oscillation in heart interneurons. As a first step toward this goal, we have developed a computer model of graded synaptic transmission between reciprocally inhibitory heart interneurons. Previously gathered voltage-clamp data of presynaptic Ca2+ currents and simultaneous postsynaptic currents and potentials (5 mM external [Ca2+]) were used as the bases of the model. 2. We assumed that presynaptic Ca2+ current was composed of distinct fast (ICaF) and slow (Icas) components because there are two distinct time courses of inactivation for this current. We fitted standard Hodgkin-Huxley equations (Eq. 1 and 2, APPENDIX) to these components using first-order activation and inactivation kinetics. 3. Graded synaptic transfer in the model is based on calculation of a dimensionless variable [P]. A portion of both IcaF and ICaS determined by a factor A contributes to [P], and a removal factor B decreases [P] (Eq. 4, APPENDIX). [P] can be roughly equated to the [Ca2+] in an unspecified volume that is effective in causing transmitter release. Transmitter release, and thus postsynaptic conductance, is related to [P]3 (Eq. 3, APPENDIX). 4. We adapted our model to voltage-clamp data gathered at physiological external [Ca2+] (2.0 mM) and tested it for shorter presynaptic voltage steps. Presynaptic Ca2+ currents and synaptic transfer were well simulated under all conditions. 5. The graded synaptic transfer model could be used in a network simulation to reproduce the oscillatory activity of a reciprocally inhibitory pair of heart interneurons. Because synaptic transmission in the model is an explicit function of presynaptic Ca2+ current, the model should prove useful to explore the interaction between membrane currents and synaptic transmission that promote and modulate oscillation in reciprocally inhibitory heart interneurons.

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Year:  1993        PMID: 8388041     DOI: 10.1152/jn.1993.69.4.1225

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

1.  A model of a segmental oscillator in the leech heartbeat neuronal network.

Authors:  A A Hill; J Lu; M A Masino; O H Olsen; R L Calabrese
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

2.  A positive feedback at the cellular level promotes robustness and modulation at the circuit level.

Authors:  Julie Dethier; Guillaume Drion; Alessio Franci; Rodolphe Sepulchre
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

3.  A modeling comparison of projection neuron- and neuromodulator-elicited oscillations in a central pattern generating network.

Authors:  Nickolas Kintos; Michael P Nusbaum; Farzan Nadim
Journal:  J Comput Neurosci       Date:  2007-11-29       Impact factor: 1.621

4.  Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networks.

Authors:  F K Skinner; N Kopell; E Marder
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

5.  Activation of intrinsic and synaptic currents in leech heart interneurons by realistic waveforms.

Authors:  O H Olsen; R L Calabrese
Journal:  J Neurosci       Date:  1996-08-15       Impact factor: 6.167

6.  A dynamic network simulation of the nematode tap withdrawal circuit: predictions concerning synaptic function using behavioral criteria.

Authors:  S R Wicks; C J Roehrig; C H Rankin
Journal:  J Neurosci       Date:  1996-06-15       Impact factor: 6.167

7.  A slow outward current activated by FMRFamide in heart interneurons of the medicinal leech.

Authors:  F Nadim; R L Calabrese
Journal:  J Neurosci       Date:  1997-06-01       Impact factor: 6.167

8.  Modeling the leech heartbeat elemental oscillator. II. Exploring the parameter space.

Authors:  O H Olsen; F Nadim; R L Calabrese
Journal:  J Comput Neurosci       Date:  1995-09       Impact factor: 1.621

9.  Modeling the leech heartbeat elemental oscillator. I. Interactions of intrinsic and synaptic currents.

Authors:  F Nadim; O H Olsen; E De Schutter; R L Calabrese
Journal:  J Comput Neurosci       Date:  1995-09       Impact factor: 1.621

  9 in total

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