Computational role of eccentricity dependent cortical magnification
By Tomaso A. Poggio, Jim Mutch, Leyla Isik. 2014
30 citations recorded by the source corpus.
We develop a sampling extension of M-theory focused on invariance to scale and translation. Quite surprisingly, the theory predicts an architecture of early vision with increasing receptive field sizes and a high resolution fovea ‐ in agreement with data about the cortical magnification factor, V1 and the retina. From the slope of the inverse of the magnification factor, M-theory predicts a cortical “fovea” in V1 in the order of 40 by 40 basic units at each receptive field size ‐ corresponding to a foveola of size around 26 minutes of arc at the highest resolution, 6 degrees at the lowest resolution. It also predicts uniform scale invariance over a fixed range of scales independently of eccentricity, while translation invariance should depend linearly on spatial frequency. ≈ (B)
Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering
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In Cognitive Neuroscience
- Fabio Anselmi
- Qianli Liao
- Joel Z. Leibo
- Tomaso A. Poggio
- Winrich Freiwald
- James J. DiCarlo
- Doris Y. Tsao
- Thomas Serre
In Electrical and Electronic Engineering
Citations in the corpus
- View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, positive): “for faces) and the specific form of eccentricity-dependent cortical magnification [42].”