Principles of cortical synchronization

Grossberg, Stephen

doi:10.1017/s0140525x97281604

Cited by 3 publications

(4 citation statements)

References 10 publications

(12 reference statements)

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“…Philips and Singer (1997) propose synchronized population codes, with dynamic activity "coordinated within and between regions through specialized contextual connections." These views appear to fit nicely with the dynamical picture painted here, as do other, overlapping ideas about "neural networks" or "distributed cell assemblies"(see, e.g., Bressler 1995;Carpenter & Grossberg 1987;Grossberg 1997;Grossberg & Somers 1991;John et al 1997). One goal of dynamical theory development is to delineate differences between cognitive theories, for example, to pin down qualitative concepts and distinguish substantive from semantic controversies.…”

Section: How Are Cell Groups Formed and What Is Their Relationship Tosupporting

confidence: 78%

“…The complementary separation/interaction between local and global dynamic action fits well with the general idea that mental functions are processed within changing local and regional neural networks. Expressed another way, brain information storage and processing may involve coherent activation of large groups of cells, corresponding to independent but interacting subsystems (Bressler 1995;Edelman 1992;Grossberg & Somers 1991;Grossberg 1997;Harth 1995;John et al 1997;Silberstein 1995b;Srinivasan et al 1999;Tononi & Edelman 1998). Such temporary functional connectivity has been revealed in human brains by rapidly shifting spatial patterns of statistical interdependency of event-related potentials recorded with 64-128 electrodes during preparation for various cognitive tasks (Gevins & Cutillo 1986;.…”

Section: Cognitive Correlations To Spatial-temporal Patterns Are Robustmentioning

confidence: 99%

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Toward a quantitative description of large-scale neocortical dynamic function and EEG

Nunez¹

2000

Behav Brain Sci

413

315

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A general conceptual framework for large-scale neocortical dynamics based on data from many laboratories is applied to a variety of experimental designs, spatial scales, and brain states. Partly distinct, but interacting local processes (e.g., neural networks) arise from functional segregation. Global processes arise from functional integration and can facilitate (top down) synchronous activity in remote cell groups that function simultaneously at several different spatial scales. Simultaneous local processes may help drive (bottom up) macroscopic global dynamics observed with electroencephalography (EEG) or magnetoencephalography (MEG).A local/global dynamic theory that is consistent with EEG data and the proposed conceptual framework is outlined. This theory is neutral about properties of neural networks embedded in macroscopic fields, but its global component makes several qualitative and semiquantitative predictions about EEG measures of traveling and standing wave phenomena. A more general “metatheory” suggests what large-scale quantitative theories of neocortical dynamics may be like when more accurate treatment of local and nonlinear effects is achieved.The theory describes the dynamics of excitatory and inhibitory synaptic action fields. EEG and MEG provide large-scale estimates of modulation of these synaptic fields around background levels. Brain states are determined by neuromodulatory control parameters. Purely local states are dominated by local feedback gains and rise and decay times of postsynaptic potentials. Dominant local frequencies vary with brain region. Other states are purely global, with moderate to high coherence over large distances. Multiple global mode frequencies arise from a combination of delays in corticocortical axons and neocortical boundary conditions. Global frequencies are identical in all cortical regions, but most states involve dynamic interactions between local networks and the global system. EEG frequencies may involve a “matching” of local resonant frequencies with one or more of the many, closely spaced global frequencies.

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Section: How Are Cell Groups Formed and What Is Their Relationship Tosupporting

confidence: 78%

Section: Cognitive Correlations To Spatial-temporal Patterns Are Robustmentioning

confidence: 99%

Toward a quantitative description of large-scale neocortical dynamic function and EEG

Nunez¹

2000

Behav Brain Sci

413

315

View full text Add to dashboard Cite

show abstract

Section: How Are Cell Groups Formed and What Is Their Relationship Tosupporting

confidence: 78%

“…Expressed another way, brain information storage and processing may involve coherent activation of large groups of cells, corresponding to independent but interacting subsystems (Bressler 1995;Edelman 1992;Grossberg & Somers 1991;Grossberg 1997;Harth 1995;John et al 1997;Silberstein 1995b;Srinivasan et al 1999;Tononi & Edelman 1998). Such temporary functional connectivity has been revealed in human brains by rapidly shifting spatial patterns of statistical interdependency of event-related potentials recorded with 64-128 electrodes during preparation for various cognitive tasks (Gevins & Cutillo 1986;.…”

Section: Cognitive Correlations To Spatial-temporal Patterns Are Robustmentioning

confidence: 99%