neural (Total 12402 Patents Found)

Input parameters which correspond to operational flight data of an aircraft within a predetermined flight domain, are defined through measured variable state parameters generated during aircraft flight, utilizing a neural network trained by exemplars corresponding to such variable state parameters and reference informa...
A neural network providing correlation learning in a synapse cell coupled to a circuit for parallel implementation of weight adjustment in a broad class of learning algorithms. The circuit provides the learning portion of the synaptic operation and includes a pair of floating gate devices sharing a common floating gate...
A method and system for natural language processing including using a trained neural network having a plurality of baseline nodes. A connection weight between any selected pair of baseline nodes is described by text strings within the selected pair of nodes. A plurality of text messages are received from a preselected ...
One aspect of the present disclosure relates to a system that can prevent unintended signal components (noise) in an electric waveform that can be used for at least one of neural stimulation, block, and/or sensing. The system can include a signal generator to generate a waveform that includes an intended electric wavef...
Certain embodiments involve generating or optimizing a neural network for generating analytical or predictive outputs. The neural network can be generated using a relationship between various predictor variables and an outcome (e.g., a condition's presence or absence). The neural network can be used to determine a ...
A method of adaptively selecting a configuration for a machine learning process includes determining current system resources and performance specifications of a current system. A new configuration for the machine learning process is determined based at least in part on the current system resources and the performance ...
Methods and related systems for modulating neural activity by cyclically blocking conduction in peripheral neural structures are disclosed. In an aspect, neural activity is blocked cyclically with a blocking stimulus source positioned adjacent a skin surface in a vicinity of a nerve. Neural modulation may be used, for ...
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using recurrent neural networks to analyze health events. One of the methods includes obtaining a first temporal sequence of health events, wherein the first temporal sequence comprises respective health-related data ass...
A neural probe array includes a probe body that is implanted into a subject, a fixture body to support a rear end of the probe body, a cladding extending in a lengthwise direction of the probe body in an upper part of the probe body, and an optical waveguide member installed on the cladding along the cladding, and the ...
An operation method of a neural network, a training method, and a signal processing apparatus are provided. The operation method includes receiving an output signal from a first neural network, and converting a first feature included in the output signal to a second feature configured to be input to a second neural net...
A system for training a neural network. A switch is linked to feature detectors in at least some of the layers of the neural network. For each training case, the switch randomly selectively disables each of the feature detectors in accordance with a preconfigured probability. The weights from each training case are the...
Systems and methods for determining optimal temporal patterns of neural stimulation are disclosed. According to an aspect, a method includes selecting a temporal pattern for neural stimulation. The method also includes determining a mutation type for altering a pattern of pulses of the temporal pattern. The method also...
The present invention is an improved hermetic package for implantation in the human body. The implantable device of the present invention includes an eclectically non-conductive bass including electrically conductive vias through the substrate. A circuit is flip-chip bonded to a subset of the vias. A second circuit is ...
A method and apparatus for selecting terms, preferably higher order terms, for use in a stimulus vector of a holographic neural network. The method includes an evolutionary type algorithm in which stimulus vector arrangements are preferably modelled as chromosomes containing genes that each uniquely identify one of a p...
A dynamically stable associative learning neural network system include a plurality of synapses and a non-linear function circuit and includes an adaptive weight circuit for adjusting the weight of each synapse based upon the present signal and the prior history of signals applied to the input of the particular synapse...
Neural cells which express P75 nerve growth factor receptor (p75 NTR ) and which have a low resistance to β-amyloid peptide toxicity are treated with a binding agent that binds with p75 NTR . The resulting neural cells display an increased resistance to β-amyloid peptide toxicity. Mutant and transfected neural cells ...
A user identification system includes an image recognition network to analyze image data and generate shape data based on the image data. The system also includes a generalist network to analyze the shape data and generate general category data based on the shape data. The system further includes a specialist network t...
In a method for surface-modifying a neural electrode, a neural electrode array is formed, first and second metal nanoparticles having different solubilities with respect to an etching solution are simultaneously electrode-deposited on a surface of the neural electrode array, and the second metal nanoparticles are selec...
A neural network characterized by a minimal architecture suitable for implementation in conventional microprocessor battery pack monitoring hardware includes linear and non-linear processing elements and battery parameter measurements representative of real time and temporal quantities whereby state of charge estimatio...
A fuzzy inference device determines an inference operational quantity in accordance with inference rules each constituted by an antecedent and a consequent. An inference rule division determiner which receives data of input variables and output variables so as to determine the number of the inference rules. An antecede...
The present invention is a neural network circuit including a plurality of neuron circuits. Each neuron circuit has an input node for receiving an input signal, an output node for generating an output signal and a self-feedback control node for receiving a self-feedback signal. An interconnection device having an elect...
A data communication apparatus comprises: means for dividing data to be transmitted into a plurality of blocks and extracting the data from each block; a first multi-layered neural network of three or more layers which has weighting coefficients to output the same data as the input data for the data extracted from each...
Described herein are bimanually controlled neural localization devices capable of determining if a nerve is nearby a region of the device. In general, the device may include at least two electrodes including an anode in electrical communication with a anodal conductor and a cathode in electrical communication with a ca...
A flexible-base electrode array for implantation within neural tissue, method of making the electrode array and use thereof, is provided. A surrogate neural tissue, method of making same and use thereof, is further provided. The use of the present flexible-base electrode array for implantation into the surrogate neural...
An apparatus for checking the input-output characteristic of a neural network which has an input layer, an intermediate layer and an output layer. Plural nodes of the input layer are related to plural nodes of the intermediate layer with plural connection weights while the plural nodes of the intermediate layer are als...
A network is provided for the detection and correction of local boundary misalignments in a two-dimensional pixel space between a reference and transformed image. An input layer has input layer sections, each of which contains a plurality of input nodes associated with a cell. The cell is centered on a pixel and divide...
Disclosed are a system and method for determining the pose (translation, rotation, and scale), or position and orientation, of a model object that best matches a target object located in image data. Through an iterative process small adjustments are made to the original position and orientation of the model object unti...
In a neural network of N neuron circuits, having an engaged neuron's calculated p bit wide distance between an input vector and a prototype vector and stored in the weight memory thereof, an aggregate search/sort circuit (517) of N engaged neurons' search/sort circuits. The aggregate search/sort circuit determi...
A maximum-likelihood sequence estimator receiver includes a matched filter connected to a digital transmission channel and a sampler for providing sampled signals output by the matched filter. The sampled signals are input to an analog neural network to provide high-speed outputs representative of the transmission chan...
A plausible neural network (PLANN) is an artificial neural network with weight connection given by mutual information, which has the capability of inference and learning, and yet retains many characteristics of a biological neural network. The learning algorithm is based on statistical estimation, which is faster than ...
A neural interface includes a first dielectric material having at least one first opening for a first electrical conducting material, a first electrical conducting material in the first opening, and at least one first interconnection trace electrical conducting material connected to the first electrical conducting mate...
A neural network is used within a receiver to discriminate a large set of input waveforms without using a very large set of conventional matched filters. The neural network is trained under actual line conditions as opposed to the requirement for ideal signals when using matched filters. The finite waveforms are based ...
The present invention relates to an integrated system with the technologies of mass imbalance, acoustics and artificial neural network for detecting, locating and quantifying ruptures or leaks in ducts. The system comprises: pressure sensors mounted at strategic points along the duct, which operate as acoustic or sound...
L'invention concerne des techniques liées à la mise en oeuvre de réseaux neuronaux pour des systèmes de reconnaissance de la parole. De telles techniques peuvent comprendre la mise en oeuvre d'un saut de trame avec des trames et/ou des distances de saut approximées sur demande, de manière que seules les d...