Translator Disclaimer
Paper
30 April 1992 Astroglial-neural networks, diffusion-enhancement bilayers, and spatiotemporal grouping dynamics
Author Affiliations +
Abstract
A network is described that can be used for multiple targets grouping and tracking or directing a vision system's focus of attention. The network models a biologically plausible astroglial- neural network in the visual cortex whose parameters are tuned to match a psychophysical database on apparent motion. The architecture consists of a diffusion layer and a contrast- enhancement layer coupled by feedforward and feedback connections; input is provided by a separate feature extracting layer. The dynamics of the diffusion-enhancement bilayer exhibit grouping of static features on multiple scales as a function of time, and long-range apparent motion between time varying inputs. The model is cast as a parallel analog circuit which is realizable in VLSI. We present simulations that reproduce static grouping phenomena useful for multiple target grouping and tracking over multiple scales, demonstrate several long-range apparent motion phenomena, and discuss single targets that split, and multiple targets that merge.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert K. Cunningham and Allen M. Waxman "Astroglial-neural networks, diffusion-enhancement bilayers, and spatiotemporal grouping dynamics", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); https://doi.org/10.1117/12.57941
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Hierarchical model for early visual processing
Proceedings of SPIE (May 01 1994)
Matching pursuit of images
Proceedings of SPIE (April 06 1995)
Bilinear models of natural images
Proceedings of SPIE (February 07 2007)
Information fusion via isocortex-based Area 37 modeling
Proceedings of SPIE (August 09 2004)

Back to Top