Invariant template matching in systems with spatiotemporal coding: A matter of instability

• Published in: Neural networks Vol. 22; no. 4; pp. 425 - 449
• Main Authors: Tyukin, Ivan, Tyukina, Tatiana, van Leeuwen, Cees
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.05.2009
• Subjects: Adaptation; Adaptation, Physiological - physiology; Algorithms; Artificial Intelligence; Brain - physiology; Computer Simulation; Convergence; Eye Movements - physiology; Image Cytometry - methods; Imagination - physiology; Lyapunov-unstable; Neural Networks (Computer); Nonlinear parameterization; Orientation - physiology; Pattern Recognition, Automated; Pattern Recognition, Visual - physiology; Psychomotor Performance - physiology; Template matching; Weakly attracting sets; Nonlinear parameterization; Lyapunov-unstable; Template matching; Weakly attracting sets; Adaptation; Convergence

We consider the design principles of algorithms that match templates to images subject to spatiotemporal encoding. Both templates and images are encoded as temporal sequences of samplings from spatial patterns. Matching is required to be tolerant to various combinations of image perturbations. These...