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Fig. 2 | The Journal of Mathematical Neuroscience

Fig. 2

From: A Rate-Reduced Neuron Model for Complex Spiking Behavior

Fig. 2

Different types of spiking patterns generated by the single neuron model (SNM). Corresponding parameter values \((\theta,\kappa,\varepsilon,\gamma )\) are given in brackets. ( A ) Tonic spiking \((\tfrac{1}{10},\tfrac{1}{2},\tfrac{1}{2},\tfrac{1}{2} )\). ( B ) Spike-frequency adaptation \((\tfrac{1}{10},1,\tfrac{1}{1000},5 )\). ( C ) Rebound spiking \((\tfrac{1}{50},2,\tfrac{1}{100},\frac{1}{5} )\). ( D ) Accommodation \((\tfrac{3}{25},3,\tfrac{1}{50},\tfrac{2}{5} )\). ( E ) Spike latency \((\tfrac{1}{10},0,\tfrac{1}{200},\tfrac{2}{5} )\). ( F ) Inhibition-induced spiking \((\tfrac{1}{50},-1,\tfrac{1}{500},\tfrac{2}{5} )\)

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