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Current models for learning feature detectors work on two timescales: on a fast timescale, the internal neurons' activations adapt to the current stimulus; on a slow timescale, the weights adapt to the statistics of the set of stimuli. Here we explore the adaptation of a neuron's intrinsic excitability, termed intrinsic plasticity, which occurs on a(More)
By frame of reference transformations, an input variable in one coordinate system is transformed into an output variable in a different coordinate system depending on another input variable. If the variables are represented as neural population codes, then a sigma–pi network is a natural way of coding this transformation. By multiplying two inputs it(More)
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since the person's appearance is very different from the top or from the side view, and the shape of the person changes significantly when moving around the room. This article presents(More)
Various optimality principles have been proposed to explain the characteristics of coordinated eye and head movements during visual orienting behavior. At the same time, researchers have suggested several neural models to underly the generation of saccades, but these do not include online learning as a mechanism of optimization. Here, we suggest an(More)
Learning by multimodal observation of vision and language offers a potentially powerful paradigm for robot learning. Recent experiments have shown that 'mirror' neurons are activated when an action is being performed, perceived, or verbally referred to. Different input modalities are processed by distributed cortical neuron ensembles for leg, arm and head(More)
We present a solution for robotic docking, i.e. approach of a robot toward a table so that it can grasp an object. One constraint is that our PeopleBot robot has a short non-extendable gripper and wide 'shoulders'. Therefore, it must approach the table at a perpendicular angle so that the gripper can reach over it. Another constraint is the use of vision to(More)
With the on-line preparation of substitution fluid, an easy-to-operate and cost-effective alternative to conventional hemodiafiltration (HDF) has been realized. The continuous filtration of dialysis fluid, furthermore, allows high volumes of exchange. Microbial contamination and subsequently endotoxins, however, may be present in dialysis fluid, and thus(More)
This paper presents a neural network architecture for a robot learning new navigation behavior by observing a human's movement in a room. While indoor robot navigation is challenging due to the high complexity of real environments and the possible dynamic changes in a room, a human can explore a room easily without any collisions. We therefore propose a(More)