Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity
By Christoph Börgers, Nancy J. Kopell. Neural Computation, 2003
505 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/75c26f860e31270525c5544d9972b0a17a3ccb5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Xiao-Jing Wang
- Gustavo Deco
- György Buzsáki
- Ole Jensen
- Olaf Sporns
- Joana Cabral
- E. T. Rolls
- Morten L. Kringelbach
In Computer Networks and Communications
- Xiao-Jing Wang
- Gustavo Deco
- Olaf Sporns
- Joana Cabral
- Nancy J. Kopell
- Maxim Bazhenov
- Christoph Börgers
- Morten L. Kringelbach
In Statistical and Nonlinear Physics
- Xiao-Jing Wang
- Gustavo Deco
- Olaf Sporns
- György Buzsáki
- Nancy J. Kopell
- Maxim Bazhenov
- Joana Cabral
- Christoph Börgers
Citations in the corpus
- Mechanisms of Gamma Oscillations (2012, background): “In most E-I models, there is no need for I-I connections (Wilson & Cowan 1972, Whittington et al. 2000, Borgers & Kopell 2003, Brunel & Wang 2003, Geisler et al. 2005).”
- Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, methodology): “The conclusion about the small minimum number of synapses per neuron required for synchrony in a random network also holds for two population models of excitatory and inhibitory neurons (96, 1040).”
- Role of local network oscillations in resting-state functional connectivity (2011, background): “In a number of experimental and theoretical studies (Bartos et al., 2007; Brunel, 2000; Brunel andWang, 2003; Borgers and Kopell, 2003), local neural networks have been shown to exhibit gamma oscillations, and the mechanisms leading to such oscillations are now widely accepted.”
- Gamma and Theta Rhythms in Biophysical Models of Hippocampal Circuits (2010, methodology): “It has been shown (Golomb and Hansel, 2000; Börgers and Kopell, 2003) that the formation of a coherent gamma rhythm depends on the number of connections to a given E- or I-cell from the opposite population, independent of the size of the network; thus, the connections can be arbitrarily sparse.”
- Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations (2014, unknown): “…of experimental and theoretical studies showing that neural activity at the population level usually exhibits oscillations with a moderate level of synchrony, in particular in the gamma frequency range (30–80 Hz) (Bartos et al., 2007; Borgers and Kopell, 2003; Brunel, 2000; Brunel and Wang, 2003).”
- Thalamocortical oscillations (2006, background): “…second intracortical mechanism of gamma activity generation depends on the activity of inhibitory interneurons and was described both in vitro and computational models (Borgers and Kopell 2003; Lytton and Sejnowski 1991; Traub et al. 1996a; Traub et al. 1997; Traub et al. 1998; Traub et al. 1999).”
- On the human sensorimotor-cortex beta rhythm: Sources and modeling (2005, background): “This is true because the e-cells fire when the inhibition has decayed sufficiently, depending on the drive to those cells (Borgers and Kopell, 2003; Ermentrout and Kopell, 1998).”