Two-Cell to N-Cell Heterogeneous, Inhibitory Networks: Precise Linking of Multistable and Coherent Properties

Skinner, Frances K.; Bazzazi, Hojjat; Campbell, Sue Ann

doi:10.1007/s10827-005-0331-1

Cited by 33 publications

(16 citation statements)

References 13 publications

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“…Chow and Kopell's (2000) two-cell analyses also have predicted correspondences in larger systems of all-to-all coupled neurons. Furthermore, we previously used simulations and bifurcation analyses to show that it is possible to link two-cell dynamics to larger network dynamics in which the networks are due to inhibitory coupling and the neurons have biophysical characteristics that are not identical (Skinner et al 2005a). Thus it is not unreasonable to think that some linkage might also be possible with electrical coupling.…”

Section: Discussionmentioning

confidence: 99%

Distal Gap Junctions and Active Dendrites Can Tune Network Dynamics

Saraga

Ng²,

Skinner³

2006

Journal of Neurophysiology

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Saraga, Fernanda, Leo Ng, and Frances K. Skinner. Distal gap junctions and active dendrites can tune network dynamics. J Neurophysiol 95: 1669 -1682, 2006. First published December 7, 2005 doi:10.1152/jn.00662.2005. Gap junctions allow direct electrical communication between CNS neurons. From theoretical and modeling studies, it is well known that although gap junctions can act to synchronize network output, they can also give rise to many other dynamic patterns including antiphase and other phase-locked states. The particular network pattern that arises depends on cellular, intrinsic properties that affect firing frequencies as well as the strength and location of the gap junctions. Interneurons or GABAergic neurons in hippocampus are diverse in their cellular characteristics and have been shown to have active dendrites. Furthermore, parvalbumin-positive GABAergic neurons, also known as basket cells, can contact one another via gap junctions on their distal dendrites. Using two-cell network models, we explore how distal electrical connections affect network output. We build multi-compartment models of hippocampal basket cells using NEURON and endow them with varying amounts of active dendrites. Two-cell networks of these model cells as well as reduced versions are explored. The relationship between intrinsic frequency and the level of active dendrites allows us to define three regions based on what sort of network dynamics occur with distal gap junction coupling. Weak coupling theory is used to predict the delineation of these regions as well as examination of phase response curves and distal dendritic polarization levels. We find that a nonmonotonic dependence of network dynamic characteristics (phase lags) on gap junction conductance occurs. This suggests that distal electrical coupling and active dendrite levels can control how sensitive network dynamics are to gap junction modulation. With the extended geometry, gap junctions located at more distal locations must have larger conductances for pure synchrony to occur. Furthermore, based on simulations with heterogeneous networks, it may be that one requires active dendrites if phase-locking is to occur in networks formed with distal gap junctions. Interneurons, or inhibitory GABAergic neurons, in hippocampus are diverse in their cellular characteristics and have been shown and suggested to have active dendrites (Maccaferri et al. 2004;Martina et al. 2000;McBain and Fisahn 2001;Traub and Miles 1995). Furthermore, parvalbumin-positive GABAergic neurons, also known as basket cells, are known to contact one another via gap junctions on their distal dendrites Kosaka 2000, 2003;Katsumaru et al. 1988;Kosaka and Hama 1985). Because gap junctions represent a form of direct, bidirectional electrical communication, it is reasonable to think of their primary role as that of mediating synchrony. However, theoretical and modeling studies show that although gap junctions can act to synchronize network output in firing (oscillating) neurons, they can also give rise to many...

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Section: Discussionmentioning

confidence: 99%

Distal Gap Junctions and Active Dendrites Can Tune Network Dynamics

Saraga

Ng²,

Skinner³

2006

Journal of Neurophysiology

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“…These models provide a different approach by describing the brain from a microscopic scale [68]. Typically, they range from a single synapse to networks of millions of neurons.…”

Section: A32 Biophysical Network Modelsmentioning

confidence: 99%

Understanding the abnormal brain activity in epilepsy as a potential predictor of the onset of an epileptic seizure

Dunn¹,

Abbott²,

Masterton³

et al. 2011

ANZIAMJ

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The Brain Research Institute (bri) uses various types of indirect measurements, including eeg and fmri, to understand and assess brain activity and function. As well as the recovery of generic information about brain function, research also focuses on the utilisation of such data and understanding to study the initiation, dynamics, spread and suppression of epileptic seizures. To assist with the future focussing of this aspect of their research, the bri asked the misg 2010 participants to examine how the available eeg and fmri data and current knowledge about epilepsy should be analysed and interpreted to yield an enhanced understanding about brain activity occurring before, at commencement of, during, and after a seizure. Though the deliberations of the study group were wide ranging in terms of the related matters considered and discussed, considerable progress was

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“…For all simulations the adopted value of parameters g In and g El were all within the physiological range (Gibson et al 1999;Galarreta and Hestrin 2002). It is worth noticing that the all to all coupling between interneurons adopted here was also used in other papers (White et al 1998;Nomura et al 2003;Kopell and Ermentrout 2004;Yoshioka 2005;Skinner et al 2005;Borgers et al 2005;Gao and Holmes 2007).…”

Section: Synaptic Couplingmentioning

confidence: 99%

Temporal information coding properties of a network of inhibitory interneurons

Garbo

2008

Cogn Process

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Inhibitory interneurons are coupled by electrical and inhibitory synapses and exert a powerful control of the discharges of principal cells. In this paper, the transmission properties of excitatory synaptic inputs by a network of interneurons, are studied by using a computational approach. It is shown that both the rise and decay time constants, describing the time course of the excitatory synaptic inputs, have a strong effect on the output jitter of the fired spikes. Similar results were found by changing the values of the other parameters describing the network. Lastly, it is shown that the presence of the electrical coupling between interneurons confers to the network the capability of transmitting, with less temporal spread, the timing information contained in its inputs.

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Two-Cell to N-Cell Heterogeneous, Inhibitory Networks: Precise Linking of Multistable and Coherent Properties

Cited by 33 publications

References 13 publications

Distal Gap Junctions and Active Dendrites Can Tune Network Dynamics

Distal Gap Junctions and Active Dendrites Can Tune Network Dynamics

Understanding the abnormal brain activity in epilepsy as a potential predictor of the onset of an epileptic seizure

Temporal information coding properties of a network of inhibitory interneurons

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