Literature DB >> 17913876

Modeling a layer 4-to-layer 2/3 module of a single column in rat neocortex: interweaving in vitro and in vivo experimental observations.

Leora Sarid1, Randy Bruno, Bert Sakmann, Idan Segev, Dirk Feldmeyer.   

Abstract

We report a step in constructing an in silico model of a neocortical column, focusing on the synaptic connection between layer 4 (L4) spiny neurons and L2/3 pyramidal cells in rat barrel cortex. It is based first on a detailed morphological and functional characterization of synaptically connected pairs of L4-L2/3 neurons from in vitro recordings and second, on in vivo recordings of voltage responses of L2/3 pyramidal cells to current pulses and to whisker deflection. In vitro data and a detailed compartmental model of L2/3 pyramidal cells enabled us to extract their specific membrane resistivity ( approximately 16,000 ohms x cm(2)) and capacitance ( approximately 0.8 microF/cm(2)) and the spatial distribution of L4-L2/3 synaptic contacts. The average peak conductance per L4 synaptic contact is 0.26 nS for the alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid and 0.2 nS for NMDA receptors. The in vivo voltage response for current steps was then used to calibrate the model for in vivo conditions in the Down state. Consequently, the effect of a single whisker deflection was modeled by converging, on average, 350 +/- 20 L4 axons onto the modeled L2/3 pyramidal cell. Based on values of synaptic conductance, the spatial distribution of L4 synapses on L2/3 dendrites, and the average in vivo spiking probability of L4 spiny neurons, the model predicts that the feed-forward L4-L2/3 connection on its own does not fire the L2/3 neuron. With a broader distribution in the number of L4 neurons or with slight synchrony among them, the L2/3 model does spike with low probability.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17913876      PMCID: PMC2000451          DOI: 10.1073/pnas.0707853104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

1.  Direct measurement of specific membrane capacitance in neurons.

Authors:  L J Gentet; G J Stuart; J D Clements
Journal:  Biophys J       Date:  2000-07       Impact factor: 4.033

2.  Morphometric analysis of the columnar innervation domain of neurons connecting layer 4 and layer 2/3 of juvenile rat barrel cortex.

Authors:  Joachim Lübke; Arnd Roth; Dirk Feldmeyer; Bert Sakmann
Journal:  Cereb Cortex       Date:  2003-10       Impact factor: 5.357

3.  Synaptic connections between layer 4 spiny neurone-layer 2/3 pyramidal cell pairs in juvenile rat barrel cortex: physiology and anatomy of interlaminar signalling within a cortical column.

Authors:  Dirk Feldmeyer; Joachim Lübke; R Angus Silver; Bert Sakmann
Journal:  J Physiol       Date:  2002-02-01       Impact factor: 5.182

4.  Detailed passive cable models of layer 2/3 pyramidal cells in rat visual cortex at different temperatures.

Authors:  Andrew J Trevelyan; Julian Jack
Journal:  J Physiol       Date:  2002-03-01       Impact factor: 5.182

5.  The NMDA-to-AMPA ratio at synapses onto layer 2/3 pyramidal neurons is conserved across prefrontal and visual cortices.

Authors:  Chaelon I O Myme; Ken Sugino; Gina G Turrigiano; Sacha B Nelson
Journal:  J Neurophysiol       Date:  2003-04-02       Impact factor: 2.714

6.  Thalamocortical arbors extend beyond single cortical barrels: an in vivo intracellular tracing study in rat.

Authors:  P B Arnold; C X Li; R S Waters
Journal:  Exp Brain Res       Date:  2001-01       Impact factor: 1.972

7.  Compartmental models of rat cerebellar Purkinje cells based on simultaneous somatic and dendritic patch-clamp recordings.

Authors:  A Roth; M Häusser
Journal:  J Physiol       Date:  2001-09-01       Impact factor: 5.182

8.  Spontaneous firing patterns and axonal projections of single corticostriatal neurons in the rat medial agranular cortex.

Authors:  R L Cowan; C J Wilson
Journal:  J Neurophysiol       Date:  1994-01       Impact factor: 2.714

9.  Dynamic receptive fields of reconstructed pyramidal cells in layers 3 and 2 of rat somatosensory barrel cortex.

Authors:  Michael Brecht; Arnd Roth; Bert Sakmann
Journal:  J Physiol       Date:  2003-08-29       Impact factor: 5.182

10.  Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex.

Authors:  Michael Brecht; Bert Sakmann
Journal:  J Physiol       Date:  2002-08-15       Impact factor: 5.182

View more
  39 in total

1.  Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections.

Authors:  Srikanth Ramaswamy; Sean L Hill; James G King; Felix Schürmann; Yun Wang; Henry Markram
Journal:  J Physiol       Date:  2011-11-14       Impact factor: 5.182

2.  Improved biocytin labeling and neuronal 3D reconstruction.

Authors:  Manuel Marx; Robert H Günter; Werner Hucko; Gabriele Radnikow; Dirk Feldmeyer
Journal:  Nat Protoc       Date:  2012-02-02       Impact factor: 13.491

3.  Reliable and precise neuronal firing during sensory plasticity in superficial layers of primary somatosensory cortex.

Authors:  Brett L Benedetti; Stanislaw Glazewski; Alison L Barth
Journal:  J Neurosci       Date:  2009-09-23       Impact factor: 6.167

4.  Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking.

Authors:  Daniel Maxim Iascone; Yujie Li; Uygar Sümbül; Michael Doron; Hanbo Chen; Valentine Andreu; Finola Goudy; Heike Blockus; Larry F Abbott; Idan Segev; Hanchuan Peng; Franck Polleux
Journal:  Neuron       Date:  2020-03-12       Impact factor: 17.173

Review 5.  A neural network model of reliably optimized spike transmission.

Authors:  Toshikazu Samura; Yuji Ikegaya; Yasuomi D Sato
Journal:  Cogn Neurodyn       Date:  2015-01-23       Impact factor: 5.082

6.  The α2A -adrenoceptor suppresses excitatory synaptic transmission to both excitatory and inhibitory neurons in layer 4 barrel cortex.

Authors:  Minoru Ohshima; Chiaki Itami; Fumitaka Kimura
Journal:  J Physiol       Date:  2017-10-25       Impact factor: 5.182

7.  Synaptic Conductance Estimates of the Connection Between Local Inhibitor Interneurons and Pyramidal Neurons in Layer 2/3 of a Cortical Column.

Authors:  Jochen H O Hoffmann; H S Meyer; Arno C Schmitt; Jakob Straehle; Trinh Weitbrecht; Bert Sakmann; Moritz Helmstaedter
Journal:  Cereb Cortex       Date:  2015-03-10       Impact factor: 5.357

8.  Bistable, irregular firing and population oscillations in a modular attractor memory network.

Authors:  Mikael Lundqvist; Albert Compte; Anders Lansner
Journal:  PLoS Comput Biol       Date:  2010-06-03       Impact factor: 4.475

9.  Modeling the emergence of whisker direction maps in rat barrel cortex.

Authors:  Stuart P Wilson; Judith S Law; Ben Mitchinson; Tony J Prescott; James A Bednar
Journal:  PLoS One       Date:  2010-01-22       Impact factor: 3.240

10.  Estimation of thalamocortical and intracortical network models from joint thalamic single-electrode and cortical laminar-electrode recordings in the rat barrel system.

Authors:  Patrick Blomquist; Anna Devor; Ulf G Indahl; Istvan Ulbert; Gaute T Einevoll; Anders M Dale
Journal:  PLoS Comput Biol       Date:  2009-03-27       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.