Abstract
We describe a neural model for forming size- and position-invariant representations of visual objects. The model is based on a previously proposed dynamic routing circuit that remaps selected portions of an input array into an object-centered reference frame. Here, we show how a multiscale representation may be incorporated at the input stage of the model, and we describe the control architecture and dynamics for a hierarchical, multistage routing circuit. Specific neurobiological substrates and mechanisms for the model are proposed, and a number of testable predictions are described.
Original language | English |
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Pages (from-to) | 45-62 |
Number of pages | 18 |
Journal | Journal of Computational Neuroscience |
Volume | 2 |
Issue number | 1 |
DOIs | |
State | Published - Mar 1995 |
Keywords
- attention
- invariance
- multiscale
- recognition
- routing