Literature DB >> 15006096

Rapid temporal modulation of synchrony by competition in cortical interneuron networks.

P H E Tiesinga1, T J Sejnowski.   

Abstract

The synchrony of neurons in extrastriate visual cortex is modulated by selective attention even when there are only small changes in firing rate (Fries, Reynolds, Rorie, & Desimone, 2001). We used Hodgkin-Huxley type models of cortical neurons to investigate the mechanism by which the degree of synchrony can be modulated independently of changes in firing rates. The synchrony of local networks of model cortical interneurons interacting through GABA(A) synapses was modulated on a fast timescale by selectively activating a fraction of the interneurons. The activated interneurons became rapidly synchronized and suppressed the activity of the other neurons in the network but only if the network was in a restricted range of balanced synaptic background activity. During stronger background activity, the network did not synchronize, and for weaker background activity, the network synchronized but did not return to an asynchronous state after synchronizing. The inhibitory output of the network blocked the activity of pyramidal neurons during asynchronous network activity, and during synchronous network activity, it enhanced the impact of the stimulus-related activity of pyramidal cells on receiving cortical areas (Salinas & Sejnowski, 2001). Synchrony by competition provides a mechanism for controlling synchrony with minor alterations in rate, which could be useful for information processing. Because traditional methods such as cross-correlation and the spike field coherence require several hundred milliseconds of recordings and cannot measure rapid changes in the degree of synchrony, we introduced a new method to detect rapid changes in the degree of coincidence and precision of spike timing.

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Year:  2004        PMID: 15006096      PMCID: PMC2868970          DOI: 10.1162/089976604322742029

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  42 in total

1.  Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.

Authors:  W Gerstner
Journal:  Neural Comput       Date:  2000-01       Impact factor: 2.026

2.  Modulation of oscillatory neuronal synchronization by selective visual attention.

Authors:  P Fries; J H Reynolds; A E Rorie; R Desimone
Journal:  Science       Date:  2001-02-23       Impact factor: 47.728

3.  The number of synaptic inputs and the synchrony of large, sparse neuronal networks.

Authors:  D Golomb; D Hansel
Journal:  Neural Comput       Date:  2000-05       Impact factor: 2.026

4.  New roles for the gamma rhythm: population tuning and preprocessing for the Beta rhythm.

Authors:  Mette S Olufsen; Miles A Whittington; Marcelo Camperi; Nancy Kopell
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

5.  Gamma rhythmic bursts: coherence control in networks of cortical pyramidal neurons.

Authors:  Toshio Aoyagi; Takashi Takekawa; Tomoki Fukai
Journal:  Neural Comput       Date:  2003-05       Impact factor: 2.026

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Journal:  J Neurosci       Date:  1996-10-15       Impact factor: 6.167

7.  Partial synchronization in populations of pulse-coupled oscillators.

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Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1996-11

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Authors:  J A White; C C Chow; J Ritt; C Soto-Treviño; N Kopell
Journal:  J Comput Neurosci       Date:  1998-03       Impact factor: 1.621

9.  Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex.

Authors:  D A McCormick; B W Connors; J W Lighthall; D A Prince
Journal:  J Neurophysiol       Date:  1985-10       Impact factor: 2.714

10.  Gamma rhythms and beta rhythms have different synchronization properties.

Authors:  N Kopell; G B Ermentrout; M A Whittington; R D Traub
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

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  42 in total

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Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

2.  Background gamma rhythmicity and attention in cortical local circuits: a computational study.

Authors:  Christoph Börgers; Steven Epstein; Nancy J Kopell
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-03       Impact factor: 11.205

3.  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

4.  Communication call-evoked gamma-band activity in the auditory cortex of awake bats is modified by complex acoustic features.

Authors:  Andrei V Medvedev; Jagmeet S Kanwal
Journal:  Brain Res       Date:  2007-11-04       Impact factor: 3.252

5.  Generation of synthetic spike trains with defined pairwise correlations.

Authors:  Ernst Niebur
Journal:  Neural Comput       Date:  2007-07       Impact factor: 2.026

6.  Modulation of synchrony without changes in firing rates.

Authors:  Jakob Heinzle; Peter König; Rodrigo F Salazar
Journal:  Cogn Neurodyn       Date:  2007-07-14       Impact factor: 5.082

7.  Gamma oscillations mediate stimulus competition and attentional selection in a cortical network model.

Authors:  Christoph Börgers; Steven Epstein; Nancy J Kopell
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-12       Impact factor: 11.205

8.  Ketamine Alters Outcome-Related Local Field Potentials in Monkey Prefrontal Cortex.

Authors:  Kevin J Skoblenick; Thilo Womelsdorf; Stefan Everling
Journal:  Cereb Cortex       Date:  2015-06-03       Impact factor: 5.357

9.  Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.

Authors:  Samuel A Neymotin; George L Chadderdon; Cliff C Kerr; Joseph T Francis; William W Lytton
Journal:  Neural Comput       Date:  2013-09-18       Impact factor: 2.026

10.  The dyslexia-associated gene DCDC2 is required for spike-timing precision in mouse neocortex.

Authors:  Alicia Che; Matthew J Girgenti; Joseph LoTurco
Journal:  Biol Psychiatry       Date:  2013-10-04       Impact factor: 13.382

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