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. 2019 Jan 28;15(1):e1006723. doi: 10.1371/journal.pcbi.1006723

Fig 9. Selectivity depends on an interaction between phasicness and RF shape.

Fig 9

(A) Example convolutions of an RF with Ωt = 10, 40, and 80 Hz. Rasters of phasic (red) and tonic (blue) responses for 5 of 10 trials are shown below. At 10 Hz, slow modulations predominate. At 40 Hz, the convolution contains more sharp peaks. At 80 Hz, the peaks become sparser, but only the response of the phasic example becomes more selective. (B) The selectivity of neural simulations increases as the temporal modulation of the RF (Ωt) increases, but only for phasic models. The selectivity of tonic simulations shows little effect. The interaction between model type and Ωt is significant (F1,124 = 93; p < 0.001).