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The Role of Inhibition in a Computational Model of an Auditory Cortical Neuron during the Encoding of Temporal Information

Fig 9

Impact of spontaneous rate on computational model.

a. Relationship between spontaneous rate of simulated neuron and the amplitude of the Gaussian noise added to the excitatory and inhibitory conductances. The arrow indicates the amplitude of noise used for the simulated neurons in analyses conducted in Figs. 28. The gray dashed lines indicate spontaneous rates of 0 spk/s (bottom) and 40 spk/s (top). b-c. Classification of neuron-type [non-sync (o), sync (x), mixed (+), atypical (square)] for two different spontaneous rates: a low spontaneous rate (b) of 0 spk/s (noise input of 3x10-8) and a high spontaneous rate (c) of ~40 spk/s (noise input of 6x10-8). Responses outside the allowable range (pure tone response between 1–50 spk/s) are indicated in cyan.

Fig 9

doi: https://doi.org/10.1371/journal.pcbi.1004197.g009