Published in Proc Natl Acad Sci U S A on April 01, 1980
A dynamic neural field model of visual working memory and change detection. Psychol Sci (2009) 1.23
A layered neural architecture for the consolidation, maintenance, and updating of representations in visual working memory. Brain Res (2009) 1.03
Time scale hierarchies in the functional organization of complex behaviors. PLoS Comput Biol (2011) 0.85
Neural dynamics of object-based multifocal visual spatial attention and priming: object cueing, useful-field-of-view, and crowding. Cogn Psychol (2012) 0.81
Where's Waldo? How perceptual, cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene. Front Integr Neurosci (2014) 0.79
Global consensus theorem and self-organized criticality: unifying principles for understanding self-organization, swarm intelligence and mechanisms of carcinogenesis. Gene Regul Syst Bio (2013) 0.77
A symbolic/subsymbolic interface protocol for cognitive modeling. Log J IGPL (2010) 0.77
Affective and contextual values modulate spatial frequency use in object recognition. Front Psychol (2014) 0.75
Plasticity of Sensorimotor Networks: Multiple Overlapping Mechanisms. Neuroscientist (2016) 0.75
How does a brain build a cognitive code? Psychol Rev (1980) 1.95
On the differential equations of species in competition. J Math Biol (1976) 1.33
Control of sequential compartment formation in Drosophila. Science (1978) 1.29
Neural pattern discrimination. J Theor Biol (1970) 1.18
On a diffusive prey--predator model which exhibits patchiness. J Theor Biol (1978) 1.16
Decisions, patterns, and oscillations in nonlinear competitive systems with applications to Volterra-Lotka systems. J Theor Biol (1978) 0.86
Pattern formation by the global limits of a nonlinear competitive interaction in n dimensions. J Math Biol (1977) 0.86
Some developmental and attentional biases in the contrast enhancement and short term memory of recurrent neural networks. J Theor Biol (1975) 0.85
Visual illusions in neural networks: line neutralization, tilt after effect, and angle expansion. J Theor Biol (1976) 0.83
Do all neural models really look alike? A comment on Anderson, Silverstein, Ritz, and Jones. Psychol Rev (1978) 0.81