V1 Simple Features visualized as 10x10 pixel patches on a grid
Download scientific diagram | V1 Simple Features visualized as 10x10 pixel patches on a grid 20x20 (dictionary size, K=400). Each patch shows the pattern of input to which the particular cell is sensitive, often referred to as the Receptive Field or weights of the cell. The entire collection of patches is the Dictionary of a tile containing the cells. Color and orientation features of varying spatial frequency and spatial extent are learned by watching nature documentaries. from publication: Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback | There has been great progress in understanding of anatomical and functional microcircuitry of the primate cortex. However, the fundamental principles of cortical computation-the principles that allow the visual cortex to bind retinal spikes into representations of objects, | Cortical, Unsupervised Learning and Compression | ResearchGate, the professional network for scientists.
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PDF) Fundamental principles of cortical computation: unsupervised
V1 Simple Features visualized as 10x10 pixel patches on a grid
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