Literature DB >> 9133400

Passive and active membrane properties contribute to the temporal filtering properties of midbrain neurons in vivo.

E S Fortune1, G J Rose.   

Abstract

This study examined the contributions of passive and active membrane properties to the temporal selectivities of electrosensory neurons in vivo. The intracellular responses to time-varying (2-30 Hz) electrosensory stimulation and current injection of 27 neurons in the midbrain of the weakly electric fish Eigenmannia were recorded. Each neuron was filled with biocytin to reveal its anatomy. Neurons were divided into two biophysically distinct groups based on their frequency-dependent responses to sinusoidal current injection over the range 2-30 Hz. Fourteen neurons showed low-pass filtering, with a maximum decline in the amplitude of voltage responses of >2.6 dB (X = 4.30 dB, s = 1.10 dB) to sinusoidal current injection. These neurons also showed low-pass filtering of electrosensory information but with larger maximum declines in postsynaptic potential amplitude (X = 9.53 dB, s = 3.34 dB; n = 10). These neurons had broad dendritic arbors and relatively spiny dendrites. Five neurons showed all-pass filtering, having maximum decline in the amplitude of voltage responses of <2.0 dB (X = 1.16 dB, s = 0.61 dB). For electrosensory stimuli, however, these neurons showed low-, band-, or high-pass filtering. These neurons had small dendritic arbors and few or no spines. Voltage-dependent "active" conductances were revealed in eight neurons by using several levels of current clamp. In four of these neurons, the duration of the voltage-dependent conductances decreased in concert with the period of the electrosensory stimulus, whereas in the other four neurons the duration of the voltage-dependent conductances was relatively short (<30 msec) and nearly constant across sensory stimulation frequencies. These conductances enhanced the temporal filtering properties of neurons.

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Year:  1997        PMID: 9133400      PMCID: PMC6573678     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  16 in total

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Authors:  K J Staley; T S Otis; I Mody
Journal:  J Neurophysiol       Date:  1992-05       Impact factor: 2.714

2.  Morphology and physiology of cortical neurons in layer I.

Authors:  S Hestrin; W E Armstrong
Journal:  J Neurosci       Date:  1996-09-01       Impact factor: 6.167

3.  New techniques for making whole-cell recordings from CNS neurons in vivo.

Authors:  G J Rose; E S Fortune
Journal:  Neurosci Res       Date:  1996-09       Impact factor: 3.304

4.  Gain of the vestibulo-ocular reflex in monkey at high rotational frequencies.

Authors:  E L Keller
Journal:  Vision Res       Date:  1978       Impact factor: 1.886

5.  Multiple electrosensory maps in the medulla of weakly electric gymnotiform fish. I. Physiological differences.

Authors:  C A Shumway
Journal:  J Neurosci       Date:  1989-12       Impact factor: 6.167

6.  Phase and amplitude computations in the midbrain of an electric fish: intracellular studies of neurons participating in the jamming avoidance response of Eigenmannia.

Authors:  W Heiligenberg; G Rose
Journal:  J Neurosci       Date:  1985-02       Impact factor: 6.167

7.  Gain control in the electrosensory system mediated by descending inputs to the electrosensory lateral line lobe.

Authors:  J Bastian
Journal:  J Neurosci       Date:  1986-02       Impact factor: 6.167

8.  Cellular processing of temporal information in medial vestibular nucleus neurons.

Authors:  S du Lac; S G Lisberger
Journal:  J Neurosci       Date:  1995-12       Impact factor: 6.167

9.  Spatial and temporal frequency selectivity of neurones in visual cortical areas V1 and V2 of the macaque monkey.

Authors:  K H Foster; J P Gaska; M Nagler; D A Pollen
Journal:  J Physiol       Date:  1985-08       Impact factor: 5.182

10.  Temporal filtering properties of ampullary electrosensory neurons in the torus semicircularis of Eigenmannia: evolutionary and computational implications.

Authors:  E S Fortune; G J Rose
Journal:  Brain Behav Evol       Date:  1997       Impact factor: 1.808

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  29 in total

1.  Stimulus encoding and feature extraction by multiple sensory neurons.

Authors:  Rüdiger Krahe; Gabriel Kreiman; Fabrizio Gabbiani; Christof Koch; Walter Metzner
Journal:  J Neurosci       Date:  2002-03-15       Impact factor: 6.167

2.  Short-term synaptic plasticity contributes to the temporal filtering of electrosensory information.

Authors:  E S Fortune; G J Rose
Journal:  J Neurosci       Date:  2000-09-15       Impact factor: 6.167

Review 3.  Natural patterns of neural activity: how physiological mechanisms are orchestrated to cope with real life.

Authors:  Rafael Kurtz; Martin Egelhaaf
Journal:  Mol Neurobiol       Date:  2003-02       Impact factor: 5.590

4.  Parallel coding of first- and second-order stimulus attributes by midbrain electrosensory neurons.

Authors:  Patrick McGillivray; Katrin Vonderschen; Eric S Fortune; Maurice J Chacron
Journal:  J Neurosci       Date:  2012-04-18       Impact factor: 6.167

5.  Sparse and dense coding of natural stimuli by distinct midbrain neuron subpopulations in weakly electric fish.

Authors:  Katrin Vonderschen; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2011-09-21       Impact factor: 2.714

6.  Subthreshold membrane conductances enhance directional selectivity in vertebrate sensory neurons.

Authors:  Maurice J Chacron; Eric S Fortune
Journal:  J Neurophysiol       Date:  2010-05-05       Impact factor: 2.714

7.  Inhibition of SK and M channel-mediated currents by 5-HT enables parallel processing by bursts and isolated spikes.

Authors:  Tara Deemyad; Leonard Maler; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2011-01-05       Impact factor: 2.714

8.  Neural heterogeneities and stimulus properties affect burst coding in vivo.

Authors:  O Avila-Akerberg; R Krahe; M J Chacron
Journal:  Neuroscience       Date:  2010-03-15       Impact factor: 3.590

9.  Spatio-temporal filtering properties of a dendritic cable with active spines: a modeling study in the spike-diffuse-spike framework.

Authors:  Yulia Timofeeva; Gabriel J Lord; Stephen Coombes
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

Review 10.  Short-Term Synaptic Plasticity as a Mechanism for Sensory Timing.

Authors:  Helen Motanis; Michael J Seay; Dean V Buonomano
Journal:  Trends Neurosci       Date:  2018-09-25       Impact factor: 13.837

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