Skip to main content
Advertisement

< Back to Article

Innate Visual Learning through Spontaneous Activity Patterns

Figure 2

V1 simple cell receptive fields derived through an efficient coding of natural scenes and spontaneous activity patterns.

(A) Receptive fields from sparse coding: basis functions derived from natural images (algorithm as described in [40]). (B) Receptive fields from ICA: filters derived from natural images (algorithm as described in [48]). For panels (B,C,D) the same patch collection and efficient coding algorithm was used as detailed in the methods section. (C) Receptive field filters derived from images of simulated retinal waves as in figure 2 of [18] - a few examples are in figure 1c of this paper. Patch size for this data corresponds to approximately 0.3 mm. Refer to the text for the implication of this result. (D) Receptive field filters derived from our generated patterns with parameters (p = 0.7, r = 3, t = 8).

Figure 2

doi: https://doi.org/10.1371/journal.pcbi.1000137.g002