Synchrony in excitatory neural networks
Neural Computation
What matters in neuronal locking?
Neural Computation
Dynamics of Strongly Coupled Spiking Neurons
Neural Computation
Neuromodulation of decision and response selection
Neural Networks - Computational models of neuromodulation
The Combined Effects of Inhibitory and Electrical Synapses in Synchrony
Neural Computation
Detecting effective connectivity in networks of coupled neuronal oscillators
Journal of Computational Neuroscience
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We analyze the existence and stability of phase-locked states of neurons coupled electrically with gap junctions. We show that spike shape and size, along with driving current (which affects network frequency), play a large role in which phase-locked modes exist and are stable. Our theory makes predictions about biophysical models using spikes of different shapes, and we present simulations to confirm the predictions. We also analyze a large system of all-to-all coupled neurons and show that the splay-phase state can exist only for a certain range of frequencies.