@article{ Tiesinga_Sejnowski04,
  author = {Tiesinga, P. H. E. and Sejnowski, T. J.},
  title = {Rapid temporal modulation of synchrony by competition in cortical
	interneuron networks},
  journal = {Neural Computation},
  year = {2004},
  volume = {16},
  pages = {251-75},
  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.}
}

{"_id":"QLDy3PHZCDz9FW9QW","bibbaseid":"tiesinga-sejnowski-rapidtemporalmodulationofsynchronybycompetitionincorticalinterneuronnetworks-2004","downloads":0,"creationDate":"2015-02-08T05:14:59.299Z","title":"Rapid temporal modulation of synchrony by competition in cortical interneuron networks","author_short":["Tiesinga, P.<nbsp>H.<nbsp>E.","Sejnowski, T.<nbsp>J."],"year":2004,"bibtype":"article","biburl":"http://cnslab.mb.jhu.edu/niebase.bib","bibdata":{"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.","author":["Tiesinga, P. H. E.","Sejnowski, T. J."],"author_short":["Tiesinga, P.<nbsp>H.<nbsp>E.","Sejnowski, T.<nbsp>J."],"bibtex":"@article{ Tiesinga_Sejnowski04,\n author = {Tiesinga, P. H. E. and Sejnowski, T. J.},\n title = {Rapid temporal modulation of synchrony by competition in cortical\n\tinterneuron networks},\n journal = {Neural Computation},\n year = {2004},\n volume = {16},\n pages = {251-75},\n abstract = {The synchrony of neurons in extrastriate visual cortex is modulated\n\tby selective attention even when there are only small changes in\n\tfiring rate (Fries, Reynolds, Rorie, & Desimone, 2001). We used Hodgkin-Huxley\n\ttype models of cortical neurons to investigate the mechanism by which\n\tthe degree of synchrony can be modulated independently of changes\n\tin firing rates. The synchrony of local networks of model cortical\n\tinterneurons interacting through GABA(A) synapses was modulated on\n\ta fast timescale by selectively activating a fraction of the interneurons.\n\tThe activated interneurons became rapidly synchronized and suppressed\n\tthe activity of the other neurons in the network but only if the\n\tnetwork was in a restricted range of balanced synaptic background\n\tactivity. During stronger background activity, the network did not\n\tsynchronize, and for weaker background activity, the network synchronized\n\tbut did not return to an asynchronous state after synchronizing.\n\tThe inhibitory output of the network blocked the activity of pyramidal\n\tneurons during asynchronous network activity, and during synchronous\n\tnetwork activity, it enhanced the impact of the stimulus-related\n\tactivity of pyramidal cells on receiving cortical areas (Salinas\n\t& Sejnowski, 2001). Synchrony by competition provides a mechanism\n\tfor controlling synchrony with minor alterations in rate, which could\n\tbe useful for information processing. Because traditional methods\n\tsuch as cross-correlation and the spike field coherence require several\n\thundred milliseconds of recordings and cannot measure rapid changes\n\tin the degree of synchrony, we introduced a new method to detect\n\trapid changes in the degree of coincidence and precision of spike\n\ttiming.}\n}","bibtype":"article","id":"Tiesinga_Sejnowski04","journal":"Neural Computation","key":"Tiesinga_Sejnowski04","pages":"251-75","title":"Rapid temporal modulation of synchrony by competition in cortical interneuron networks","type":"article","volume":"16","year":"2004","bibbaseid":"tiesinga-sejnowski-rapidtemporalmodulationofsynchronybycompetitionincorticalinterneuronnetworks-2004","role":"author","urls":{},"downloads":0},"search_terms":["rapid","temporal","modulation","synchrony","competition","cortical","interneuron","networks","tiesinga","sejnowski"],"keywords":[],"authorIDs":[],"dataSources":["ErLXoH8mqSjESnrN5"]}