Literature DB >> 12716923

Variable properties in a single class of excitatory spinal synapse.

David Parker1.   

Abstract

Although synaptic properties are specific to the type of synapse examined, there is evidence to suggest that properties can vary in individual synaptic populations. Here, a large sample of monosynaptic connections made by excitatory interneurons (EINs) onto motor neurons in the lamprey spinal cord locomotor network has been used to examine the properties of a single class of spinal synapse in detail. The properties and activity-dependent plasticity of EIN-evoked EPSPs varied considerably. This variability occurred at convergent inputs made by several EINs onto single motor neurons. This suggests that it was an intrinsic network property and not simply related to differences between animals or experiments. The activity-dependent plasticity of EIN-evoked EPSPs could be negatively or positively related to the initial EPSP amplitude (P1 and P2 connections, respectively). This reflected the development of facilitation and depression from either small or large initial EPSPs. To identify differences in presynaptic properties that could contribute to the synaptic variability, the quantal amplitude, release probability, number of release sites, and size of the available vesicle pool were examined. This analysis suggested that the variable amplitude and plasticity of EPSPs at P1 and P2 connections reflected an interaction between the release probability and the size of the available transmitter store. There is thus significant functional variability in EIN synaptic properties. Synapses ranged from strong (evoked postsynaptic spikes) to weak (small depressing EPSPs). The selection of interneurons with different synaptic properties could provide an intrinsic mechanism for modifying excitatory network interactions and the locomotor network output.

Entities:  

Mesh:

Year:  2003        PMID: 12716923      PMCID: PMC6742331     

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


  44 in total

Review 1.  Long-term potentiation--a decade of progress?

Authors:  R C Malenka; R A Nicoll
Journal:  Science       Date:  1999-09-17       Impact factor: 47.728

Review 2.  Synaptic plasticity at thalamocortical synapses in developing rat somatosensory cortex: LTP, LTD, and silent synapses.

Authors:  D E Feldman; R A Nicoll; R C Malenka
Journal:  J Neurobiol       Date:  1999-10

Review 3.  Molecular frequency filters at central synapses.

Authors:  A M Thomson
Journal:  Prog Neurobiol       Date:  2000-10       Impact factor: 11.685

4.  Unveiling synaptic plasticity: a new graphical and analytical approach.

Authors:  J D Clements; R A Silver
Journal:  Trends Neurosci       Date:  2000-03       Impact factor: 13.837

5.  Activity and calcium-dependent mechanisms maintain reliable interneuron synaptic transmission in a rhythmic neural network.

Authors:  D Parker
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

6.  Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex.

Authors:  A Gupta; Y Wang; H Markram
Journal:  Science       Date:  2000-01-14       Impact factor: 47.728

7.  Quantitative fine-structural analysis of olfactory cortical synapses.

Authors:  T Schikorski; C F Stevens
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

8.  Presynaptic and interactive peptidergic modulation of reticulospinal synaptic inputs in the lamprey.

Authors:  D Parker
Journal:  J Neurophysiol       Date:  2000-05       Impact factor: 2.714

9.  Properties and plasticity of paired-pulse depression at a central synapse.

Authors:  R F Waldeck; A Pereda; D S Faber
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

10.  Activity-dependent metaplasticity of inhibitory and excitatory synaptic transmission in the lamprey spinal cord locomotor network.

Authors:  D Parker; S Grillner
Journal:  J Neurosci       Date:  1999-03-01       Impact factor: 6.167

View more
  14 in total

1.  Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.

Authors:  Cheng Ly
Journal:  J Comput Neurosci       Date:  2015-10-09       Impact factor: 1.621

2.  Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder.

Authors:  Diego Fasoli; Stefano Panzeri
Journal:  Entropy (Basel)       Date:  2019-06-26       Impact factor: 2.524

3.  Atypical properties of release and short-term depression at a specialized nicotinic synapse in the Mauthner cell network.

Authors:  Simon Gelman; Charlotte L Grove; Donald S Faber
Journal:  J Exp Biol       Date:  2011-05-01       Impact factor: 3.312

Review 4.  Complexities and uncertainties of neuronal network function.

Authors:  David Parker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-01-29       Impact factor: 6.237

5.  Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.

Authors:  Cheng Ly; Gary Marsat
Journal:  J Comput Neurosci       Date:  2017-11-10       Impact factor: 1.621

6.  The central pattern generator underlying swimming in Dendronotus iris: a simple half-center network oscillator with a twist.

Authors:  Akira Sakurai; Paul S Katz
Journal:  J Neurophysiol       Date:  2016-07-20       Impact factor: 2.714

7.  Synaptic Variability Introduces State-Dependent Modulation of Excitatory Spinal Cord Synapses.

Authors:  David Parker
Journal:  Neural Plast       Date:  2015-06-11       Impact factor: 3.599

8.  Locomotor rhythm maintenance: electrical coupling among premotor excitatory interneurons in the brainstem and spinal cord of young Xenopus tadpoles.

Authors:  Wen-Chang Li; Alan Roberts; Stephen R Soffe
Journal:  J Physiol       Date:  2009-02-16       Impact factor: 5.182

9.  Dynamic systems approaches and levels of analysis in the nervous system.

Authors:  David Parker; Vipin Srivastava
Journal:  Front Physiol       Date:  2013-02-05       Impact factor: 4.566

10.  Axonal noise as a source of synaptic variability.

Authors:  Ali Neishabouri; A Aldo Faisal
Journal:  PLoS Comput Biol       Date:  2014-05-08       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.