Synchronous firing and higher-order interactions in neuron pool
Neural Computation
Patterns of Synchrony in Neural Networks with Spike Adaptation
Neural Computation
Liquid state machine by spatially coupled oscillators
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Simple model of spiking neurons
IEEE Transactions on Neural Networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A biologically plausible winner-takes-all architecture
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
An evolutionary network model of epileptic phenomena
Neurocomputing
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Biological cortical neurons form functional networks through a complex set of developmental steps. A key process in early development is the transition of the spontaneous network dynamics from slow synchronous activity to a mature firing profile with complex high-order patterns of spikes and bursts. In the present modeling study we investigate the required properties of the network to initialize this transition by the shift of the chloride reversal potential, which switches the effect of the GABA synapses from depolarizing to hyperpolarizing. The simulated networks are generated by a statistical description of parameters for the neuron model and the network architecture.