Burst-duration mechanism of in-phase bursting in inhibitory networks
From MaRDI portal
Publication:618190
DOI10.1134/S1560354710020048zbMath1204.92015MaRDI QIDQ618190
Publication date: 14 January 2011
Published in: Regular and Chaotic Dynamics (Search for Journal in Brave)
Neural biology (92C20) Dynamical systems in biology (37N25) Bifurcation theory for random and stochastic dynamical systems (37H20) Systems biology, networks (92C42) Biological rhythms and synchronization (92B25)
Related Items
Bursting oscillations, bifurcation and synchronization in neuronal systems ⋮ When two wrongs make a right: synchronized neuronal bursting from combined electrical and inhibitory coupling ⋮ Switching mechanisms and bout times in a pair of reciprocally inhibitory neurons ⋮ Poincaré return maps in neural dynamics: three examples
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Control of multistability in ring circuits of oscillators
- Genesis of bursting oscillations in the Hindmarsh-Rose model and homoclinicity to a chaotic saddle
- In-phase and antiphase self-oscillations in a model of two electrically coupled pacemakers
- Anti-phase, asymmetric and aperiodic oscillations in excitable cells. I: Coupled bursters
- Clustering in globally coupled inhibitory neurons
- Topological and phenomenological classification of bursting oscillations
- Blue sky catastrophes
- Homoclinic bifurcations of periodic orbits on a route from tonic spiking to bursting in neuron models
- Dynamics of two mutually coupled slow inhibitory neurons
- Synchronization of Elliptic Bursters
- Patterns of Synchrony in Neural Networks with Spike Adaptation
- Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
- Chaotic Spikes Arising from a Model of Bursting in Excitable Membranes
- Synchronized Activity and Loss of Synchrony Among Heterogeneous Conditional Oscillators
- NEURAL EXCITABILITY, SPIKING AND BURSTING
- Bifurcation of synchronous oscillations into torus in a system of two reciprocally inhibitory silicon neurons: Experimental observation and modeling
