Literature DB >> 9001975

The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: I. Passive membrane properties.

A Borst1, J Haag.   

Abstract

The passive membrane properties of the tangential cells in the fly lobula plate (CH, HS, and VS cells, Fig. 1) were determined by combining compartmental modeling and current injection experiments. As a prerequisite, we built a digital base of the cells by 3D-reconstructing individual tangential cells from cobalt-stained material including both CH cells (VCH and DCH cells), all three HS cells (HSN, HSE, and HSS cells) and most members of the VS cell family (Figs. 2, 3). In a first series of experiments, hyperpolarizing and depolarizing currents were injected to determine steady-state I-V curves (Fig. 4). At potentials more negative than resting, a linear relationship holds, whereas at potentials more positive than resting, an outward rectification is observed. Therefore, in all subsequent experiments, when a sinusoidal current of variable frequency was injected, a negative DC current was superimposed to keep the neurons in a hyperpolarized state. The resulting amplitude and phase spectra revealed an average steady-state input resistance of 4 to 5 M omega and a cut-off frequency between 40 and 80 Hz (Fig. 5). To determine the passive membrane parameters Rm (specific membrane resistance), Ri (specific internal resistivity), and Cm (specific membrane capacitance), the experiments were repeated in computer simulations on compartmental models of the cells (Fig. 6). Good fits between experimental and simulation data were obtained for the following values: Rm = 2.5 k omega cm2, Ri = 60 omega cm, and Cm = 1.5 microF/cm2 for CH cells; Rm = 2.0 k omega cm2, Ri = 40 omega cm, and Cm = 0.9 microF/cm2 for HS cells; Rm = 2.0 k omega cm2, Ri = 40 omega cm, and Cm = 0.8 microF/cm2 for VS cells. An error analysis of the fitting procedure revealed an area of confidence in the Rm-Ri plane within which the Rm-Ri value pairs are still compatible with the experimental data given the statistical fluctuations inherent in the experiments (Figs. 7, 8). We also investigated whether there exist characteristic differences between different members of the same cell class and how much the exact placement of the electrode (within +/-100 microns along the axon) influences the result of the simulation (Fig. 9). The membrane parameters were further examined by injection of a hyperpolarizing current pulse (Fig. 10). The resulting compartmental models (Fig. 11) based on the passive membrane parameters determined in this way form the basis of forthcoming studies on dendritic integration and signal propagation in the fly tangential cells (Haag et al., 1997; Haag and Borst, 1997).

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Year:  1996        PMID: 9001975     DOI: 10.1007/bf00161091

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  51 in total

Review 1.  Rallpacks: a set of benchmarks for neuronal simulators.

Authors:  U S Bhalla; D H Bilitch; J M Bower
Journal:  Trends Neurosci       Date:  1992-11       Impact factor: 13.837

2.  Impulse propagation at the septal and commissural junctions of crayfish lateral giant axons.

Authors:  A WATANABE; H GRUNDFEST
Journal:  J Gen Physiol       Date:  1961-11       Impact factor: 4.086

3.  The electrical constants of a crustacean nerve fibre.

Authors:  A L HODGKIN; W A H RUSHTON
Journal:  Proc R Soc Med       Date:  1946-12-03

4.  Periodic current injection (PCI)--a new method to image steady-state membrane potential of single neurons in situ using extracellular voltage-sensitive dyes.

Authors:  A Borst
Journal:  Z Naturforsch C J Biosci       Date:  1995 May-Jun

5.  The resolution of neuronal assemblies after cobalt injection into neuropil.

Authors:  N J Strasufeld; K Hausen
Journal:  Proc R Soc Lond B Biol Sci       Date:  1977-12-13

Review 6.  Principles of visual motion detection.

Authors:  A Borst; M Egelhaaf
Journal:  Trends Neurosci       Date:  1989-08       Impact factor: 13.837

7.  Role of regional cellular geometry in conduction of excitation along a sensory neuron.

Authors:  D Mellon; C Kaars
Journal:  J Neurophysiol       Date:  1974-11       Impact factor: 2.714

8.  Time constants and electrotonic length of membrane cylinders and neurons.

Authors:  W Rall
Journal:  Biophys J       Date:  1969-12       Impact factor: 4.033

9.  Visual orientation behaviour of flies after selective laser beam ablation of interneurones.

Authors:  G Geiger; D R Nässel
Journal:  Nature       Date:  1981-10-01       Impact factor: 49.962

10.  Specific membrane properties of cat motoneurones.

Authors:  J N Barrett; W E Crill
Journal:  J Physiol       Date:  1974-06       Impact factor: 5.182

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  43 in total

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Authors:  L E Moore; N Chub; J Tabak; M O'Donovan
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

2.  The intrinsic electrophysiological characteristics of fly lobula plate tangential cells: III. Visual response properties.

Authors:  J Haag; A Vermeulen; A Borst
Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

3.  Parameter estimation methods for single neuron models.

Authors:  J Tabak; C R Murphey; L E Moore
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Authors:  J L Winslow; S F Jou; S Wang; J M Wojtowicz
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5.  Recurrent network interactions underlying flow-field selectivity of visual interneurons.

Authors:  J Haag; A Borst
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6.  Effects of mean firing on neural information rate.

Authors:  A Borst; J Haag
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7.  Dendro-dendritic interactions between motion-sensitive large-field neurons in the fly.

Authors:  Juergen Haag; Alexander Borst
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

8.  Noise, not stimulus entropy, determines neural information rate.

Authors:  Alexander Borst
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

Review 9.  Visually guided orientation in flies: case studies in computational neuroethology.

Authors:  M Egelhaaf; N Böddeker; R Kern; J Kretzberg; J P Lindemann; A-K Warzecha
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-05-15       Impact factor: 1.836

10.  Orientation tuning of motion-sensitive neurons shaped by vertical-horizontal network interactions.

Authors:  J Haag; A Borst
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-04-26       Impact factor: 1.836

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