The Combined Effects of Inhibitory and Electrical Synapses in Synchrony
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Publication:4673529
DOI10.1162/0899766053019917zbMath1059.92012OpenAlexW2136934965WikidataQ81599040 ScholiaQ81599040MaRDI QIDQ4673529
Benjamin Pfeuty, David Golomb, D. Hansel, Germán Mato
Publication date: 29 April 2005
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/0899766053019917
Related Items (11)
The Leaky Oscillator: Properties of Inhibition-Based Rhythms Revealed through the Singular Phase Response Curve ⋮ When two wrongs make a right: synchronized neuronal bursting from combined electrical and inhibitory coupling ⋮ Synchronization of weakly coupled canard oscillators ⋮ Analytic approximations of statistical quantities and response of noisy oscillators ⋮ The robustness of phase-locking in neurons with dendro-dendritic electrical coupling ⋮ Effect of Phase Response Curve Shape and Synaptic Driving Force on Synchronization of Coupled Neuronal Oscillators ⋮ Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses ⋮ Stability, bifurcation and phase-locking of time-delayed excitatory-inhibitory neural networks ⋮ Clamping and Synchronization in the Strongly Coupled FitzHugh--Nagumo Model ⋮ Multistability of clustered states in a globally inhibitory network ⋮ Unnamed Item
Cites Work
- n:m phase-locking of weakly coupled oscillators
- Collective synchronization of pulse-coupled oscillators and excitable units
- Dendritic and synaptic effects in systems of coupled cortical oscillators
- The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators
- Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
- Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons
- The Influence of Limit Cycle Topology on the Phase Resetting Curve
- Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses
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