Literature DB >> 9705478

Electrophysiological characteristics of classes of neuron in the HVc of the zebra finch.

M Kubota1, I Taniguchi.   

Abstract

Whole cell recordings were made from zebra finch HVc neurons in slice preparations. Four distinct classes of neuron were found on the basis of their electrophysiological properties. The morphological characteristics of some of these neurons were also examined by intracellular injection of Lucifer yellow. Type I neurons (21 of 65 cells) had longer time-to-peak of an afterhyperpolarization following an action potential than the other classes. They exhibited both fast and time-dependent inward rectification and an initial high-frequency firing followed by a slower constant firing. Type I neurons had large somata and thick dendrites with many spines. The axons of some of the neurons in this class projected in the direction of area X of the parolfactory lobe. Type II neurons (30 of 65 cells) had a more negative resting membrane potential than the other classes. They exhibited fast inward rectification. Type II neurons could be divided into two subclasses by the absence (IIa; 22 cells) and the presence (IIb; 8 cells) of a low-threshold transient depolarization. Type IIa neurons had relatively small somata and thin, spiny dendrites. The axons of some of the neurons in this class projected in the direction of the robust nucleus of the archistriatum (RA). Type IIb neurons had relatively large somata and thick dendrites with many spines. Type III neurons (6 of 65 cells) had a shorter action-potential duration than the other classes. They exhibited prominent time-dependent inward rectification and a regular tonic firing with little or no accommodation. Type III neurons had beaded, aspiny dendrites. Type IV neurons (8 of 65 cells) had a longer action-potential duration, a much larger input resistance, and longer membrane time constant than the other classes. Type IV neurons had small somata and thin, short, sparsely spiny dendrites. The axons of some of the neurons in this class projected in the direction of the RA. These classes of neuron may play distinct roles in song production and representation in the HVc.

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Year:  1998        PMID: 9705478     DOI: 10.1152/jn.1998.80.2.914

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


  21 in total

1.  Different subthreshold mechanisms underlie song selectivity in identified HVc neurons of the zebra finch.

Authors:  R Mooney
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

2.  Auditory representation of the vocal repertoire in a songbird with multiple song types.

Authors:  R Mooney; W Hoese; S Nowicki
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-23       Impact factor: 11.205

3.  Rhythmic activity in a forebrain vocal control nucleus in vitro.

Authors:  Michele M Solis; David J Perkel
Journal:  J Neurosci       Date:  2005-03-16       Impact factor: 6.167

4.  Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC.

Authors:  Dezhe Z Jin; Fethi M Ramazanoğlu; H Sebastian Seung
Journal:  J Comput Neurosci       Date:  2007-04-18       Impact factor: 1.621

5.  Neuron-specific cholinergic modulation of a forebrain song control nucleus.

Authors:  Stephen D Shea; Henner Koch; Daniel Baleckaitis; Jan-Marino Ramirez; Daniel Margoliash
Journal:  J Neurophysiol       Date:  2009-11-25       Impact factor: 2.714

6.  Inhibition and recurrent excitation in a computational model of sparse bursting in song nucleus HVC.

Authors:  Leif Gibb; Timothy Q Gentner; Henry D I Abarbanel
Journal:  J Neurophysiol       Date:  2009-06-10       Impact factor: 2.714

7.  Interplay of inhibition and excitation shapes a premotor neural sequence.

Authors:  Georg Kosche; Daniela Vallentin; Michael A Long
Journal:  J Neurosci       Date:  2015-01-21       Impact factor: 6.167

8.  Morphological characterization of HVC projection neurons in the zebra finch (Taeniopygia guttata).

Authors:  Sam E Benezra; Rajeevan T Narayanan; Robert Egger; Marcel Oberlaender; Michael A Long
Journal:  J Comp Neurol       Date:  2018-04-16       Impact factor: 3.215

9.  Support for a synaptic chain model of neuronal sequence generation.

Authors:  Michael A Long; Dezhe Z Jin; Michale S Fee
Journal:  Nature       Date:  2010-10-24       Impact factor: 49.962

10.  Nonlinear statistical data assimilation for HVC[Formula: see text] neurons in the avian song system.

Authors:  Nirag Kadakia; Eve Armstrong; Daniel Breen; Uriel Morone; Arij Daou; Daniel Margoliash; Henry D I Abarbanel
Journal:  Biol Cybern       Date:  2016-09-29       Impact factor: 2.086

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