Abstract: Event-based updates in artificial neuron networks may be implemented. An internal event may be defined in order to update incoming connections of a neuron. The internal event may be triggered by an external signal and/or internally by the neuron. A reinforcement signal may be used to trigger an internal event of a neuron in order to perform synaptic updates without necessitating post-synaptic response. An external event may be defined in order to deliver response of the neuron to desired targets. The external and internal events may be combined into a composite event configured to effectuate connection update and spike delivery to post-synaptic target. The scope of the internal event may comprise the respective neuron and does not extend to other neurons of the network. Conversely, the scope of the external event may extend to other neurons of the network via, for example, post-synaptic spike delivery.

Abstract: Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one approach, the plasticity mechanism of a connection may comprise a causal potentiation portion and an anti-causal portion. The anti-causal portion, corresponding to the input into a neuron occurring after the neuron response, may be configured based on the prior activity of the neuron. When the neuron is in low activity state, the connection, when active, may be potentiated by a base amount. When the neuron activity increases due to another input, the efficacy of the connection, if active, may be reduced proportionally to the neuron activity. Such functionality may enable the network to maintain strong, albeit inactive, connections available for use for extended intervals.

Abstract: A differential sensing scheme provides a means for detecting one or more touch events on a touch sensitive device in the presence of incident noise. Instead of sensing one touch sensitive channel, such as a row, column, or single touch sensor, multiple touch sensitive channels are sampled at a time. By sampling two nearby channels simultaneously and doing the measurement differentially, noise common to both channels is cancelled. The differential sensing scheme is implemented using simple switch-capacitor AFE circuitry. The originally sensed data on each individual channel is recovered free of common-mode noise. The recovered sensed data is used to determine the presence of one or more touch events and if present the location of each touch event on the touch sensitive device.

Abstract: Apparatus and methods for implementing learning by robotic devices. Attention of the robot may be manipulated by use of a spot-light device illuminating a portion of the aircraft undergoing inspection in order to indicate to inspection robot target areas requiring more detailed inspection. The robot guidance may be aided by way of an additional signal transmitted by the agent to the robot indicating that the object has been illuminated and attention switch may be required. The robot may initiate a search for the signal reflected by the illuminated area requiring its attention. Responsive to detecting the illuminated object and receipt of the additional signal, the robot may develop an association between the two events and the inspection task thereby storing a robotic context. The context of one robot may be shared with other devices in lieu of training so as to enable other devices to perform the task.

Abstract: Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one approach, the plasticity mechanism of a connection may comprise a causal potentiation portion and an anti-causal portion. The anti-causal portion, corresponding to the input into a neuron occurring after the neuron response, may be configured based on the prior activity of the neuron. When the neuron is in low activity state, the connection, when active, may be potentiated by a base amount. When the neuron activity increases due to another input, the efficacy of the connection, if active, may be reduced proportionally to the neuron activity. Such functionality may enable the network to maintain strong, albeit inactive, connections available for use for extended intervals.

Abstract: Digital image processing is described that enables live prevention of recording and/or displaying of unwanted images. A device for processing a time sequence of images is provided. The device is configured to: retrieve an image of the time sequence of images from a memory; perform scene recognition on the retrieved image; and perform an action on the retrieved image, based upon the result of the scene recognition, before the images of the time sequence of images are recorded, displayed, and/or stored. The retrieval of the image, the performance of the scene recognition, and the performance of the action can be performed in real-time. The action can include at least one of adapting at least a part of retrieved image, modifying the retrieved image, preventing storage of the retrieved image, preventing a display of the retrieved image, erasing the retrieved image, or encrypting the retrieved image.

Abstract: Apparatus and methods for event based communication in a spiking neuron network. The network may comprise units communicating by spikes via synapses. The spikes may communicate a payload data. The data may comprise one or more bits. The payload may be stored in a buffer of a pre-synaptic unit and be configured to accessed by the post-synaptic unit. Spikes of different payload may cause different actions by the recipient unit. Sensory input spikes may cause postsynaptic response and trigger connection efficacy update. Teaching input spikes trigger the efficacy update without causing the post-synaptic response.

Abstract: System TLBs are integrated within an interconnect, use a and share a transport network to connect to a shared walker port. Transactions are able to pass STLB allocation information through a second initiator side interconnect, in a way that interconnects can be cascaded, so as to allow initiators to control a shared STLB within the first interconnect. Within the first interconnect, multiple STLBs share an intermediate-level translation cache that improves performance when there is locality between requests to the two STLBs.

Abstract: Random sampling techniques include techniques for reducing or eliminating errors in the output of capacitive sensor arrays such as touch panels. The channels of the touch panel are periodically sampled to determine the presence of one or more touch events. Each channel is individually sampled in a round robin fashion, referred to as a sampling cycle. During each sampling cycle, all channels are sampled once. Multiple sampling cycles are performed such that each channel is sampled multiple times. Random sampling techniques are used to sample each of the channels. One random sampling technique randomizes a starting channel in each sampling cycle. Another random sampling technique randomizes the selection of all channels in each sampling cycle. Yet another random sampling technique randomizes the sampling cycle delay period between each sampling cycle. Still another random sampling technique randomizes the channel delay period between sampling each channel.

Abstract: An impedance measurement system (IMS) is provided that comprises an RSSI chain (RSSI), a limiter RSSI chain (LIMRSSI) and a limiter chain (LIM). The RSSI chain and the limiter RSSI chain are connected to a subtraction circuit (SC) and the limiter RSSI chain and the limiter chain are connected to a phase detector (PD). Further, a mobile communication device is provided that comprises the impedance measurement system in an adaptive impedance control system.

Abstract: A digital camera system for super resolution image processing is provided. The digital camera system includes a resolution enhancement module configured to receive at least a portion of an image, to increase the resolution of the received image, and to output a resolution enhanced image and an edge extraction module configured to receive the resolution enhanced image, to extract at least one edge of the resolution enhanced image, and to output the extracted at least one edge of the resolution enhanced image, the at least one edge being a set of contiguous pixels where an abrupt change in pixel values occur. The digital camera system also includes an edge enhancement module configured to receive the resolution enhanced image and the extracted at least one edge, and to combine the extracted at least one edge or a derivation of the extracted at least one edge with the resolution enhanced image.

Abstract: A system and method are disclosed for communicating coherency information between initiator and target agents on semiconductor chips. Sufficient information communication to support full coherency is performed through a socket interface using only three channels. Transaction requests are issued on one channel with responses given on a second. Intervention requests are issued on the same channel as transaction responses. Intervention responses are given on a third channel. Such an approach drastically reduces the complexity of cache coherent socket interfaces compared to conventional approaches. The net effect is faster logic, smaller silicon area, improved architecture performance, and a reduced probability of bugs by the designers of coherent initiators and targets.

Abstract: An improved switchable capacitor array comprises a plurality of n?2 capacitor units, each comprising a capacitor with a capacitance and a switch unit. The capacitor units are electrically connected in series. Equidistantly spaced impedance values can be obtained if the values of the capacitances are chosen properly.

Abstract: Apparatus and methods for developing parallel networks. Parallel network design may comprise a general purpose language (GPC) code portion and a network description (ND) portion. GPL tools may be utilized in designing the network. The GPL tools may be configured to produce network specification language (NSL) engine adapted to generate hardware optimized machine executable code corresponding to the network description. The developer may be enabled to describe a parameter of the network. The GPC portion may be automatically updated consistent with the network parameter value. The GPC byte code may be introspected by the NSL engine to provide the underlying source code that may be automatically reinterpreted to produce the hardware optimized machine code. The optimized machine code may be executed in parallel.

Abstract: A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. Methods for managing memory in a processing system are described whereby memory can be allocated among a plurality of elements and rules configured for each element such that the parallel execution of the spiking networks is most optimal.

Abstract: A camera that provides for a panorama mode of operation that stitches together two or more images to create a single image with a wide format. In panorama mode, a live view of a scene is transformed from rectangular coordinates to cylindrical coordinates and displayed by the camera. Also, an overlap portion between the previous image and the next image to be captured is characterized. In real time, after the previous image is captured, the overlap portion of the previous image is also transformed from rectangular coordinates into cylindrical coordinates. Next, the camera displays an overlay of at least a portion of the overlap portion onto the live view of the next image to be captured. And this overlay can assist the user in aligning the live view of the next image to be captured with the overlap portion of the previously captured image.

Abstract: Apparatus and methods for an extensible robotic device with artificial intelligence and receptive to training controls. In one implementation, a modular robotic system that allows a user to fully select the architecture and capability set of their robotic device is disclosed. The user may add/remove modules as their respective functions are required/obviated. In addition, the artificial intelligence is based on a neuronal network (e.g., spiking neural network), and a behavioral control structure that allows a user to train a robotic device in manner conceptually similar to the mode in which one goes about training a domesticated animal such as a dog or cat (e.g., a positive/negative feedback training paradigm) is used. The trainable behavior control structure is based on the artificial neural network, which simulates the neural/synaptic activity of the brain of a living organism.

Abstract: An alternative phase detector without the need for direct phase measurement is provided. The phase detector comprises three signal inputs (S1, S2, S3), a ratio determination circuit (RDC) for determining at least two ratios of the respective input signals, and a calculation circuit (CC) to derive a measure of a phase difference between at least two input signals.

Abstract: An RF device includes a substrate and a series circuit of a tunable RF component and a DC blocking capacitor. The series circuit is arranged on the substrate and couples an RF signal terminal to a fixed voltage terminal that is electrically isolated from the RF signal terminal. The tunable RF component is coupled to the RF signal terminal, the DC blocking capacitor is coupled to the fixed voltage terminal and a driver terminal is coupled to the tunable RF component.

Abstract: The present invention relates to a method for scaling a first channel, wherein the method comprises computing a low resolution second channel based on a transformation of the second channel with a transformation function used to transform high resolution channel into a low resolution channel; computing a correlation function between the low resolution second channel and the first channel; determining a predicted second channel having the high resolution from the low resolution second channel according to a prediction method; computing an high-pass second channel based on the difference between the second channel and the predicted second channel and based on the correlation function; determining a predicted first channel having the high resolution from the first channel according to the prediction method.