Skip to main content
Figure 1 | BMC Neuroscience

Figure 1

From: The role of adaptation current in synchronously firing inhibitory neural networks with various topologies

Figure 1

Differential synchronization properties (scored by the Golomb measure [3]) of two inhibitory networks as a function of synaptic current duration, external drive and synaptic strength. In 1000 neuron networks with 300 random incoming synapses per neuron, Type II networks without an adaptation current show clustering, resulting in a moderate synchronization measure, for nearly all parameters with low synaptic weight (A). Higher synaptic weight diminishes clustering (C). In identical simulations with low synaptic weight in Type II networks with an adaptation current, full synchronization is displayed when the synaptic decay constant is in an optimal range that grows with the external input current (B). Stronger synaptic weight reduces the synchronization parameter range towards shorter lasting synaptic currents (D).

Back to article page