Abstract: A machine-learning method is provided, in which a restricted Boltzmann Machine (RBM) is modified to be effectively operate in an online environment by training a learning parameter asynchronously based on spiking events which occurs only when a spiking timing of a visual layer and a spiking timing of a hidden layer are within predetermined time window.

Abstract: A photosensitive device with a photodiode and an amplifier is disclosed. The diode is in series with a feedback transistor which forces the voltage derived from the photocurrent to be a logarithmic function of the light intensity. A current mirror is provided which controls the bias current to the amplifier to be proportional to the photocurrent. This arrangement ensures that the amplifier, just as the voltage derived from the photocurrent, becomes faster with increasing light intensity and therefore prevents an unnecessarily high power consumption at low light intensities.

Abstract: A photosensitive device with a photodiode and an amplifier is disclosed. The diode is in series with a feedback transistor which forces the voltage derived from the photocurrent to be a logarithmic function of the light intensity. A current mirror is provided which controls the bias current to the amplifier to be proportional to the photocurrent. This arrangement ensures that the amplifier, just as the voltage derived from the photocurrent, becomes faster with increasing light intensity and therefore prevents an unnecessarily high power consumption at low light intensities.

Abstract: A nonlinear resistive network, which includes switches in the data paths, is provided for identifying, isolating, and/or rejecting outliers in a sensor image. During normal operation, images are received with all the switches in a closed (conducting) state. If the data at a given pixel is different from its immediate neighbors by a predetermined threshold voltage, its switch is opened. A readout of the state of all the switches in the network yields a map of points sources, and a readout of the network voltages yields a noise-free image. Because the threshold voltage can be controlled externally, various strategies may be implemented for identification of the outliers in a computer vision system.

Abstract: A vehicular traffic monitoring system incorporates an array of photosensors and a nonlinear resistive network for identifying, locating, and processing outliers in sensor images of a highway or intersection. The camera system can be mounted on a pole or overpass to provide an image of the roadway or intersection. Areas of the outlier network ("video loops") are designated to correspond to selected areas of the roadway. Images are received by the outlier detection network with all data path switches closed between sensor elements and their corresponding network nodes. The system detects the presence of objects in the image by comparing the brightness or intensity of each pixel with that of the background. If the intensity of a pixel is significantly different from the background level, the data path switch corresponding to that pixel is opened. A readout of the state of all the switches in the network yields a map of outlier points for each video frame.