Literature DB >> 10848551

Linear to supralinear summation of AMPA-mediated EPSPs in neocortical pyramidal neurons.

J S Nettleton1, W J Spain.   

Abstract

It has been hypothesized that voltage-sensitive conductances present on the dendrites of neurons can influence summation of excitatory postsynaptic potentials (EPSPs) and hence affect how neurons compile information. Greater than linear summation of EPSPs has been postulated to facilitate coincidence detection by cortical neurons. This study examined whether the summation of subthreshold AMPA-mediated EPSPs generated on layer V neocortical pyramidal neurons in vitro was linear and if any nonlinearities could be attributed to dendritic conductances. Evoked EPSPs (1-12 mV) were recorded somatically by means of intracellular sharp electrodes in the presence of 100 microM amino-5-phosphonopentanoic acid (AP-5) and 3 microM bicuculline. Two independent EPSPs were evoked by a stimulating electrode in layer I and another in layers III-V. The areas of stimulation were isolated from each other by a horizontal cut below layer I. By subtracting the algebraic sum of the individual EPSPs from the evoked response when both EPSPs were evoked simultaneously, we determined that they summed linearly to supralinearly. Supralinear summation was more likely when the soma was hyperpolarized by DC current injection. Summation was predominantly linear when postsynaptic conductances (i.e., Na(+) and Ca(2+)) were blocked with intracellular QX-314. The supralinear summation of EPSPs (without QX-314) decreased as the time between inputs was increased from 0 to 30 ms. To determine the role of dendrites in nonlinear summation, we substituted a current pulse (simulated EPSP) delivered at the soma for either or both of the evoked EPSPs. Simulated EPSPs combined with either an evoked EPSP or another simulated EPSP showed significantly less supralinear summation than two evoked EPSPs, indicating that the dendritic conductances were largely responsible for the observed supralinear summation.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10848551     DOI: 10.1152/jn.2000.83.6.3310

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


  18 in total

1.  Decoding neuronal spike trains: how important are correlations?

Authors:  Sheila Nirenberg; Peter E Latham
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-29       Impact factor: 11.205

2.  Asymmetric temporal integration of layer 4 and layer 2/3 inputs in visual cortex.

Authors:  Giao B Hang; Yang Dan
Journal:  J Neurophysiol       Date:  2010-11-10       Impact factor: 2.714

3.  Differential priming effects of color-opponent subliminal stimulation on visual magnetic responses.

Authors:  Minoru Hoshiyama; Ryusuke Kakigi; Yasuyuki Takeshima; Kensaku Miki; Shoko Watanabe
Journal:  Hum Brain Mapp       Date:  2006-10       Impact factor: 5.038

4.  State-dependent dendritic computation in hippocampal CA1 pyramidal neurons.

Authors:  Sonia Gasparini; Jeffrey C Magee
Journal:  J Neurosci       Date:  2006-02-15       Impact factor: 6.167

5.  Coincidence detection of convergent perforant path and mossy fibre inputs by CA3 interneurons.

Authors:  Eduardo Calixto; Emilio J Galván; J Patrick Card; Germán Barrionuevo
Journal:  J Physiol       Date:  2008-04-03       Impact factor: 5.182

6.  Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.

Authors:  Brian E Kalmbach; Richard Gray; Daniel Johnston; Erik P Cook
Journal:  J Neurophysiol       Date:  2017-03-01       Impact factor: 2.714

7.  The structure of pairwise correlation in mouse primary visual cortex reveals functional organization in the absence of an orientation map.

Authors:  Daniel J Denman; Diego Contreras
Journal:  Cereb Cortex       Date:  2013-05-19       Impact factor: 5.357

Review 8.  Is realistic neuronal modeling realistic?

Authors:  Mara Almog; Alon Korngreen
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

9.  A new method to infer higher-order spike correlations from membrane potentials.

Authors:  Imke C G Reimer; Benjamin Staude; Clemens Boucsein; Stefan Rotter
Journal:  J Comput Neurosci       Date:  2013-03-10       Impact factor: 1.621

10.  Phenomenological incorporation of nonlinear dendritic integration using integrate-and-fire neuronal frameworks.

Authors:  Douglas Zhou; Songting Li; Xiao-hui Zhang; David Cai
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.