scholarly journals Possible mechanisms underlying intermittent synchronous activity in the networks of excitatory and inhibitory bursting neurons

2011 ◽  
Vol 12 (S1) ◽  
Author(s):  
Choongseok Park ◽  
Leonid L Rubchinsky
2009 ◽  
Vol 40 (3) ◽  
pp. 1127-1135 ◽  
Author(s):  
Nikola Burić ◽  
Kristina Todorović ◽  
Nebojša Vasović
Keyword(s):  

1999 ◽  
Vol 82 (1) ◽  
pp. 382-397 ◽  
Author(s):  
Robert J. Butera ◽  
John Rinzel ◽  
Jeffrey C. Smith

A network of oscillatory bursting neurons with excitatory coupling is hypothesized to define the primary kernel for respiratory rhythm generation in the pre-Bötzinger complex (pre-BötC) in mammals. Two minimal models of these neurons are proposed. In model 1, bursting arises via fast activation and slow inactivation of a persistent Na+ current I NaP-h. In model 2, bursting arises via a fast-activating persistent Na+ current INaP and slow activation of a K+ current IKS. In both models, action potentials are generated via fast Na+ and K+currents. The two models have few differences in parameters to facilitate a rigorous comparison of the two different burst-generating mechanisms. Both models are consistent with many of the dynamic features of electrophysiological recordings from pre-BötC oscillatory bursting neurons in vitro, including voltage-dependent activity modes (silence, bursting, and beating), a voltage-dependent burst frequency that can vary from 0.05 to >1 Hz, and a decaying spike frequency during bursting. These results are robust and persist across a wide range of parameter values for both models. However, the dynamics of model 1 are more consistent with experimental data in that the burst duration decreases as the baseline membrane potential is depolarized and the model has a relatively flat membrane potential trajectory during the interburst interval. We propose several experimental tests to demonstrate the validity of either model and to differentiate between the two mechanisms.


2014 ◽  
Vol 112 (12) ◽  
pp. 3033-3045 ◽  
Author(s):  
Heather M. Barnett ◽  
Julijana Gjorgjieva ◽  
Keiko Weir ◽  
Cara Comfort ◽  
Adrienne L. Fairhall ◽  
...  

Spontaneous synchronous activity (SSA) that propagates as electrical waves is found in numerous central nervous system structures and is critical for normal development, but the mechanisms of generation of such activity are not clear. In previous work, we showed that the ventrolateral piriform cortex is uniquely able to initiate SSA in contrast to the dorsal neocortex, which participates in, but does not initiate, SSA (Lischalk JW, Easton CR, Moody WJ. Dev Neurobiol 69: 407–414, 2009). In this study, we used Ca2+ imaging of cultured embryonic day 18 to postnatal day 2 coronal slices (embryonic day 17 + 1–4 days in culture) of the mouse cortex to investigate the different activity patterns of individual neurons in these regions. In the piriform cortex where SSA is initiated, a higher proportion of neurons was active asynchronously between waves, and a larger number of groups of coactive cells was present compared with the dorsal cortex. When we applied GABA and glutamate synaptic antagonists, asynchronous activity and cellular clusters remained, while synchronous activity was eliminated, indicating that asynchronous activity is a result of cell-intrinsic properties that differ between these regions. To test the hypothesis that higher levels of cell-autonomous activity in the piriform cortex underlie its ability to initiate waves, we constructed a conductance-based network model in which three layers differed only in the proportion of neurons able to intrinsically generate bursting behavior. Simulations using this model demonstrated that a gradient of intrinsic excitability was sufficient to produce directionally propagating waves that replicated key experimental features, indicating that the higher level of cell-intrinsic activity in the piriform cortex may provide a substrate for SSA generation.


1998 ◽  
Vol 58 (5) ◽  
pp. 6418-6430 ◽  
Author(s):  
Mikhail Rabinovich ◽  
Ramón Huerta ◽  
Maxim Bazhenov ◽  
Alexander K. Kozlov ◽  
Henry D. I. Abarbanel

1996 ◽  
Vol 06 (04) ◽  
pp. 705-714 ◽  
Author(s):  
R. HUERTA

A simple qualitative model of spiking-bursting neurons is proposed. It is mainly built from the qualitative behavior observed in central pattern generators (CPG’s) and pacemaker neurons. It is a finite automata which is convenient for computer modelling even for large neural networks. The number of rules utilized in the finite automata are the minimum necessary to reproduce a great variety of phenomena. The validity of the model is determined using actual experimental measurements between two coupled neurons in CPG’s. We reproduce, in the framework of the model, the dynamic patterns observed in Tritonia’s escape swimming CPG. Finally, we study the dynamics of an open chain of 100 reciprocally coupled “symbolic neurons” and investigate the stable patterns reached with time.


1996 ◽  
Vol 219 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Hiroto Kawasaki ◽  
Massimo Avoli
Keyword(s):  

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