Abstract
I propose a speculative new version of the grandmother cell theory to explain how the brain may work, discuss how the visual system may learn to recognize 3D objects, and relate our theory to existing models of the cerebellum and motor control. The main points are: 1) the brain uses modules for multivariate function approximation as components of several information processing subsystems, 2) these modules are realized as HyperBF networks, and 3) HyperBF networks can be implemented in terms of biologically plausible mechanisms and circuitry. The theory predicts a type of population coding that represents an extension of schemes such as look-up tables.
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