Literature DB >> 8840227

Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models.

P Bush1, T Sejnowski.   

Abstract

Networks of compartmental model neurons were used to investigate the biophysical basis of the synchronization observed between sparsely-connected neurons in neocortex. A model of a single column in layer 5 consisted of 100 model neurons: 80 pyramidal and 20 inhibitory. The pyramidal cells had conductances that caused intrinsic repetitive bursting at different frequencies when driven with the same input. When connected randomly with a connection density of 10%, a single model column displayed synchronous oscillatory action potentials in response to stationary, uncorrelated Poisson spike-train inputs. Synchrony required a high ratio of inhibitory to excitatory synaptic strength; the optimal ratio was 4 : 1, within the range observed in cortex. The synchrony was insensitive to variation in amplitudes of postsynaptic potentials and synaptic delay times, even when the mean synaptic delay times were varied over the range 1 to 7 ms. Synchrony was found to be sensitive to the strength of reciprocal inhibition between the inhibitory neurons in one column: Too weak or too strong reciprocal inhibition degraded intra-columnar synchrony. The only parameter that affected the oscillation frequency of the network was the strength of the external driving input which could shift the frequency between 35 to 60 Hz. The same results were obtained using a model column of 1000 neurons with a connection density of 5%, except that the oscillation became more regular. Synchronization between cortical columns was studied in a model consisting of two columns with 100 model neurons each. When connections were made with a density of 3% between the pyramidal cells of each column there was no inter-columnar synchrony and in some cases the columns oscillated 180 degrees out of phase with each other. Only when connections from the pyramidal cells in each column to the inhibitory cells in the other column were added was synchrony between the columns observed. This synchrony was established within one or two cycles of the oscillation and there was on average less than 1 ms phase difference between the two columns. Unlike the intra-columnar synchronization, the inter-columnar synchronization was found to be sensitive to the synaptic delay: A mean delay of greater than 5 ms virtually abolished synchronization between columns.

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Year:  1996        PMID: 8840227     DOI: 10.1007/bf00160806

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  45 in total

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Authors:  A. K. Kreiter; W. Singer
Journal:  Eur J Neurosci       Date:  1992       Impact factor: 3.386

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Authors:  T L Williams
Journal:  Science       Date:  1992-10-23       Impact factor: 47.728

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Authors:  W W Lytton; T J Sejnowski
Journal:  J Neurophysiol       Date:  1991-09       Impact factor: 2.714

4.  Intrinsic oscillations of neocortex generated by layer 5 pyramidal neurons.

Authors:  L R Silva; Y Amitai; B W Connors
Journal:  Science       Date:  1991-01-25       Impact factor: 47.728

5.  A model for neuronal oscillations in the visual cortex. 1. Mean-field theory and derivation of the phase equations.

Authors:  H G Schuster; P Wagner
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

6.  Visibility of synaptically induced conductance changes: theory and simulations of anatomically characterized cortical pyramidal cells.

Authors:  C Koch; R Douglas; U Wehmeier
Journal:  J Neurosci       Date:  1990-06       Impact factor: 6.167

7.  Excitatory and inhibitory interactions in localized populations of model neurons.

Authors:  H R Wilson; J D Cowan
Journal:  Biophys J       Date:  1972-01       Impact factor: 4.033

8.  Relation between oscillatory activity and long-range synchronization in cat visual cortex.

Authors:  P König; A K Engel; W Singer
Journal:  Proc Natl Acad Sci U S A       Date:  1995-01-03       Impact factor: 11.205

9.  Synchronized oscillations in interneuron networks driven by metabotropic glutamate receptor activation.

Authors:  M A Whittington; R D Traub; J G Jefferys
Journal:  Nature       Date:  1995-02-16       Impact factor: 49.962

10.  Synaptic physiology of horizontal connections in the cat's visual cortex.

Authors:  J A Hirsch; C D Gilbert
Journal:  J Neurosci       Date:  1991-06       Impact factor: 6.167

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  36 in total

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Journal:  J Comput Neurosci       Date:  1999 Nov-Dec       Impact factor: 1.621

2.  Emergent oscillations in a realistic network: the role of inhibition and the effect of the spatiotemporal distribution of the input.

Authors:  Q Pauluis; S N Baker; E Olivier
Journal:  J Comput Neurosci       Date:  1999-01       Impact factor: 1.621

3.  A neurocomputational theory of the dopaminergic modulation of working memory functions.

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Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

4.  Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity.

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Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

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

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Journal:  J Physiol       Date:  2011-11-14       Impact factor: 5.182

6.  Phase-response curves and synchronized neural networks.

Authors:  Roy M Smeal; G Bard Ermentrout; John A White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

7.  Subset of thin spike cortical neurons preserve the peripheral encoding of stimulus onsets.

Authors:  Frank G Lin; Robert C Liu
Journal:  J Neurophysiol       Date:  2010-10-13       Impact factor: 2.714

8.  Phase dependent sign changes of GABAergic synaptic input explored in-silicio and in-vitro.

Authors:  Klaus M Stiefel; Valérie Wespatat; Boris Gutkin; Frank Tennigkeit; Wolf Singer
Journal:  J Comput Neurosci       Date:  2005-08       Impact factor: 1.621

9.  Attentional modulation of firing rate and synchrony in a model cortical network.

Authors:  Calin Buia; Paul Tiesinga
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

10.  Functional trade-offs in white matter axonal scaling.

Authors:  Samuel S-H Wang; Jennifer R Shultz; Mark J Burish; Kimberly H Harrison; Patrick R Hof; Lex C Towns; Matthew W Wagers; Krysta D Wyatt
Journal:  J Neurosci       Date:  2008-04-09       Impact factor: 6.167

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