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In a previous paper, we introduced a biologically inspired binocular vision system, the CogV, that exhibits partial characteristics of human vision and attention. To further the work, the investigation focused onto partitioning the image space into regions of interests that may simulate exogenous attention. The first step for human to perceive an environment is through a series of attention cues that...
This paper illustrates how progressive network learning can be performed using concepts from the K-iterations fast learning artificial neural network (KFLANN). It is common in certain application domains to require knowledge updating of existing neural networks and many existing learning paradigms require extensive re-training. The KFLANN is an efficient clustering algorithm that provides consistent...
The hierarchical fast learning artificial neural network (HieFLANN) is a clustering NN that can be initialized using statistical properties of the data set. This provides the possibility of constructing the entire network autonomously with no manual intervention. This distinguishes it from many existing networks that, though hierarchically plausible, still require manual initialization processes....
CogniVision is a neurologically inspired vergence control model that uses the optimization of the disparity error between interlaced, log-polar transformed, cortical maps incident on the visual cortex (VC) [13]. This paper presents results that illustrate a biologically inspired vergence control of a pair of 2 DOF pan-tilt cameras. This work illustrates the ability of the cortical model to perform...
This paper presents a hippocampal inspired robot localization model that provides a means for a simple robotic platform with ultrasonic sensors to localize itself. There have been published neurobiological experiments where rats were found to have hippocampal cell activations that positively correlate with the location of the animal by J.Bures, et al. (1997). Such activations found in the hippocampal...
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