Observations on Cortical Mechanisms for Object Recognition and Learning
Tomaso Poggio, Anya C. Hurlbert · 1993
This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on a recent computational model. The view-centered scheme relies on modules for learning from examples, such as Hyperbf-like networks. Such models capture a class of explanations we call Memory-Based Models (MBM) that contains sparse population coding, memory-based recognition, and codebooks of prototypes. Unlike the sigmoidal units of some artificial neural networks, the units of MBMs are consistent with the description of cortical neurons. We describe how an example of MBM may be realized in tem-is of cortical circuitry and biophysical mechanisms, consistent with psychophysical and physiological data. Object recognition, IT cortex, View invariance.