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== Human vision ==
Human vision examines a sequence of focal points (directed by [[saccade]]s), processing only a fraction of the scene at its highest resolution. Capsnets build on inspirations from [[cortical minicolumn]]s (also called cortical microcolumns) in the [[cerebral cortex]]. A minicolumn is a structure containing 80-120 neurons, with a diameter of about 28-40
Capsnets explore the intuition that the human visual system creates a [[Parse tree|tree]]-like structure for each focal point and coordinates these trees to recognize objects. However, with capsnets each tree is "carved" from a fixed network (by adjusting coefficients) rather than assembled on the fly.<ref name=":1"/>
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* {{YouTube|Hinton and Google Brain - Capsule Networks |id=x5Vxk9twXlE}}
* {{Citation|last=Liao|first=Huadong|title=CapsNet-Tensorflow: A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules|date=2017-12-08|url=https://github.com/naturomics/CapsNet-Tensorflow|access-date=2017-12-08}}
*{{Cite web|first=Fangyu|last=Cai|date=2020-12-18|title='We Can Do It' — Geoffrey Hinton and UBC, UT, Google & UVic Team Propose Unsupervised
* {{cite arXiv|last1=Sun|first1=Weiwei|last2=Tagliasacchi|first2=Andrea|last3=Deng|first3=Boyang|last4=Sabour|first4=Sara|last5=Yazdani|first5=Soroosh|last6=Hinton|first6=Geoffrey|last7=Yi|first7=Kwang Moo|date=2020-12-08|title=Canonical Capsules: Unsupervised Capsules in Canonical Pose|class=cs.CV|eprint=2012.04718}}
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