173 results about "Neural system" patented technology

A neural prosthesis includes a centralized device that can provide power, data, and clock signals to one or more individual neural prosthesis subsystems. Each subsystem may include a number of individually addressable, programmable modules that can be dynamically allocated or shared among neural prosthetic networks to achieve complex, coordinated functions or to operate in autonomous groups.

Systems and methods to leverage and manage data and knowledge in a M2M or Internet of Things (IoT) network are provided. More particularly, a cognitive intelligence platform for an IoT network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided. The hardware, software and communication design of the platform replicates the structural and operational model of the human nervous system to achieve cognitive intelligence through adaptation, collaborative learning, knowledge sharing and self-adjustment. Further, in one embodiment, the cognitive intelligence platform has three logical processing layers of increasing complexity, each of which has agents that use statistical and machine learning techniques and algorithms to resolve situational needs and update knowledge. Furthermore, each processing layer of the platform has a basic level of intelligence and additionally the hierarchy of layers aggregates the learning and intelligence at each layer.

In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

An artificial Central Pattern Generator (CPG) based on the naturally-occuring central pattern generator locomotor controller for walking, running, swimming, and flying animals may be constructed to be self-adaptive, by providing for the artificial CPG, which may be a chip, to tune its behavior based on sensory feedback. It is believed that this is the first instance of an adaptive CPG chip. Such a sensory feedback-using system with an artificial CPG may be used in mechanical applications such as a running robotic leg, in walking, flying and swimming machines, and in miniature and larger robots, and also in biological systems, such as a surrogate neural system for patients with spinal damage.

Methods for receiving a patient mark in an implanted device. A patient may experience symptoms that indicative of a neurological event or are common precursors to more severe clinical symptoms. The patient may activate a patient activator. Activation of the patient activator can cause the patient activator to transmit the patient mark to an implanted device. The implanted device may adjust physiological data being stored in response to the patient mark, including data before and after the patient mark. The patient mark may be used to fine tune the detection algorithms and otherwise tune the detection capability of the implanted device and may also be used as an aid in statistical analysis of the stored physiological data.

A system performs program and commercial response monitoring using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Multiple subjects in multiple markets are exposed to programming and commercials and neuro-response data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Data collected is provided for response integration to measure and track multi-market program and commercial response to stimulus materials.

A neural network simulation represents components of neurons by finite state machines, called sectors, implemented using look-up tables. Each sector has an internal state represented by a compressed history of data input to the sector and is factorized into distinct historical time intervals of the data input. The compressed history of data input to the sector may be computed by compressing the data input to the sector during a time interval, storing the compressed history of data input to the sector in memory, and computing from the stored compressed history of data input to the sector the data output from the sector.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and / or a cross-modality response synthesis.

A stimulation strategy for cochlear implants seeks to approximate the time domain response of a patient's neural system to electrical stimuli, to the time domain response of a normal hearing person to a corresponding acoustic stimulus. The strategy is designed to induce in the neurons of a patient a time domain response to an acoustic signal which is similar to, or approximates the time domain response induced by the normal processes in a healthy person. Various implementations are disclosed.

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. The format is specifically tuned for neural systems and specialized neuromorphic hardware, thereby serving as a bridge between developers of brain models and neuromorphic hardware manufactures.

A neural network simulation represents components of neurons by finite state machines, called sectors, implemented using look-up tables. Each sector has an internal state represented by a compressed history of data input to the sector and is factorized into distinct historical time intervals of the data input. The compressed history of data input to the sector may be computed by compressing the data input to the sector during a time interval, storing the compressed history of data input to the sector in memory, and computing from the stored compressed history of data input to the sector the data output from the sector.

Systems and methods for stimulation of neurological tissue apply a stimulation waveform that is derived by a developed genetic algorithm (GA), which may be coupled to a computational model of extracellular stimulation of a mammalian myelinated axon. The waveform is optimized for energy efficiency.

A non-invasive product customization system and a method of customizing a product formulation is provided. Brain activity of a user is detected in response to an input of a product formulation into a brain of the user via a sensory nervous system of the user. A mental state of the user is detected based on the detected brain activity. The product formulation is modified based on the determined mental state of the user. The modified product formulation may be presented to the user in a manner that modulates the mental state of the user.

In a method and system for developing a neural system adapted to perform a specified task, a population of neural systems is selected, each neural system comprising an array of interconnected neurons, and each neural system is encoded into a representative genome. For a given genome, a processing gene encodes a neural output function for each neuron, and the connections from each neuron are encoded by one or more connection genes, each connection gene including a weight function. The given neural system is operated to perform the specified task during a trial period, and performance is continually monitored during the trial period. Reinforcement signals determined from the continually monitored performance are applied as inputs to the functions respectively associated with each of the processing genes and connection genes of the given neural system. At the conclusion of the trial period, the fitness of the given neural system for performing the specified task is determined, usefully as a function of the reinforcement signals applied during the trial period. A set of genomes, respectively representing the neural systems of the population that have been determined to have the highest fitness values, are selected for use in forming a new generation of neural systems.

Disclosed are methods and systems for treatment planning for deep brain or superficial neuromodulation using ultrasound and other treatment modalities impacting one or multiple points in a neural circuit to produce acute effects or Long-Term Potentiation (LTP) or Long-Term Depression (LTD) to treat indications such as neurologic and psychiatric conditions. Ultrasound transducers or other energy sources are positioned and the anticipated effects on up-regulation and / or down-regulation of their direction of energy emission, intensity, frequency, firing / timing pattern, and phase / intensity relationships mapped onto the recommended treatment-planning targets. The maps of treatment-planning targets onto which the mapping occurs can be atlas (e.g., Tailarach Atlas) based or image (e.g., fMRI or PET) based. Atlas and imaged-based maps may be representative and applied directly or scaled for the patient or may be specific to the patient.

To provide a central nervous system tissue-labeling composition labeling the central nervous tissue system. Also, another object of the present invention is to provide a method for non-invasively labeling the central nervous tissue system. Further, another object of the present invention is to provide a screening method using the above central nervous system tissue-labeling composition. A central nervous system tissue-labeling composition containing, as an active ingredient, at least one of compounds represented by the general formula (1) or (7).

The present invention relates to a kit and an intravenously administrable preparation, both with a signal transmitter precursor, an enhancer of precursor uptake, and an inhibitor of neurotransmitter reuptake or signal transmitter catabolism. The kit also contains an appropriate swab for obtaining oral cells suitable for allelic analysis. The intravenous formulation contains similar materials and, in some cases, ethanol. Either the kit composition or the intravenous formulation may be used as guided by a subjects allelic analysis. Collections of particular alleles, especially those relating to neural system are comprehensible in terms of likelihood of success in the administration of an intraveinous formulation or ingestion of components of the subject kit.

A system and method for diagnosing mental or emotional disorders is disclosed. An affective BCI component is incorporated into a closed loop, symptom—responsive psychiatric DBS system. A series of input data related to a brain of the patient is acquired while the patient performs a battery of behavioral tasks. From the patient's performance on the task battery, the system identifies what is abnormal for that individual patient in terms of functional domains. Patient-specific behavioral measurements are then linked to patterns of activation and de-activation across different brain regions, identifying specific structures that are the source of the patient's individual impairment.

An evolvable synthetic neural system includes an evolvable neural interface operably coupled to at least one neural basis function. Each neural basis function includes an evolvable neural interface operably coupled to a heuristic neural system to perform high-level functions and an autonomic neural system to perform low-level functions. In some embodiments, the evolvable synthetic neural system is operably coupled to one or more evolvable synthetic neural systems in a hierarchy.

A neurological condition detection unit can include a computer device that is connected to at least two leads that are connectable to a patient for evoking a response from that patient via an electrical current passed through the leads (e.g. a shock) and at plurality of sensors connected to the computer device to sense how the left side and right side of the patient's brain reacts to the evoked event (e.g. the shock). The stroke detection device and / or neurological condition detection unit can be configured to output a warning when one side of the patient's brain is determined to react differently than the opposite side of the patient's brain by at least a pre-selected threshold value. The warning can include an identification of a nearby care facility that may be best suited for providing care to a patient determined to have a neurological condition (e.g. a stroke).

Disclosed is a semiconductor device used to embody a neuromorphic computation system and operation method thereof. By comprising a floating body as a short-term memory means electrically isolated from the surroundings and a long-term memory means formed at one side of the floating body not formed of a source, a drain and a gate, a low power synaptic semiconductor device is provided, which can be mimic not only the short-term memory in a nervous system of a living body by an impact ionization, but also the short- and long-term memory transition property and the causal inference property of a living body due to the time difference of signals of the pre- and post-synaptic neurons.

A dyslexia screening system suitable for clinical use includes an integrated headset that efficiently and conveniently performs an auditory evoked response (ERP) test by positioning electrodes about the ears of the subject. An integral control module automatically performs the test, providing simplified controls and indications to the clinician. A number of screening tests that are stored in the headset are periodically uploaded for billing, remote analysis and result reporting. A paradigm that characterizes testing performed for a subject along with the patient identification and / or patient demographics are stored in an associated fashion for later fusion and analyses with similar but not necessarily identically constructed ERP tests.

The invention discloses milk powder for improving children intelligence, which is prepared from the following raw materials: 0.1 to 2 grams of docosahexaenoic acid (DHA) microcapsule, 1 to 4 grams of arachidonic acid (AA), 1 to 6 grams of soy protein, 1 to 4 grams of soybean lecithin, 0.1 to 1 gram of taurine, 10 milligrams to 2 grams of zinc gluconate, 1 to 20 grams of instant walnut powder and 61 to 95.79 grams of milk powder. The milk powder contains sufficient protein, trace elements such as multiple amino acids, AA, DHA, carbohydrate, inorganic salt, calcium, iron, zinc, magnesium, manganese, copper and the like, carotene, thiamine, vitamin B2, vitamin E, nicotinic acid and the like, so the milk powder has very rich nutrient components, has the effects of enhancing cell viability, improving cranial nerve function, improving the dysfunction and disorder of the neural system, preventing hypomnesis and the like and is particularly suitable to be used by the children needing to improve the memory.

The invention discloses a transformer fault diagnosis method, and the method comprises the steps: step1, a vibration signal of a transformer is acquired, and noise reduction preprocessing is performed on the vibration signal; step2, EMD decomposition is performed, obtained IMF components are selected according to set critical values, so that the IMF components with low amplitude are removed can be prevented; step3, wavelet analysis is performed, and feature vectors after de-noising are obtained; step4, a three layers BP neural system is constructed, feature vectors extracted from the wavelet analysis serves as input vectors of BP neural network training to train, and a fault signal is outputted. According to the invention, methods such as the wavelet analysis and the like are adopted to remove interference signal in the fault signal, transformer internal fault occurrence and development multi-process and multi-fault multiple modes are diagnosed through the neural network, the transformer fault can be quickly and accurately diagnosed, the fault diagnosis efficiency is improved, the service life of the transformer is prolonged, the unnecessary costs is reduced, and the cost is saved.

The invention discloses tissue-engineered neural tissues and a construction method thereof, belonging to the technical field of tissue engineering and regeneration medicine. Subcultured and purified neural stem cells serve as seed cells of the tissue-engineered neural tissues, a liquid type I collagen and Matrigel matrix serves as stent materials, and the seed cells and the stent materials are cultured after being compounded in vitro. A stent system adopted in the invention can be used for effectively maintaining the survival and proliferation of the neural stem cells, promoting the differentiation of the neural stem cells, and forming engineered neural tissues consisting of mature neurons, astrocytes and oligodendrocytes. The tissue-engineered neural tissues have an important significance in treating neural system injury through the transplantation of the tissue-engineered neural tissues, and can also serve as an in-vitro model for the psychological research of neurodevelopment, cerebral trauma and neuroelectricity.

Apparatus for storing data records associated with a medical monitoring event in a data structure. Upon indication by a patient of a possible manifestation of a neurological event, the implanted device obtains and stores data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and / or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

Basic ideas of the invention are that through simulating information processing flow of early vision of biologic optic nerve system, designing following items solves certain issues. The said items designed in the invention are: layered network structure of simulating layered information processing mode in biologic optic nerve system; computing unit of imitating nerve ganglion, and its variable distribution of sensing field on sensor layer; computing unit for detecting moving orientation in third layer possessing local stage by stage computing mechanism; alertness algorithm for detecting moving event. The invention makes the designed parts release conflict between computing efficiency, precision and computation resources, as well as makes machine vision system pay attention to first important information, meanwhile keep alertness around.

The invention discloses a photoelectric regulation and dual-mode detection system for neural information. The system is used for regulating and detecting the neural information of a neural system of an animal and comprises a nerve regulation module, a dual-mode detection module and a main control module; the nerve regulation module is used for applying photic stimulation signals or electric stimulation signals to the neural system and regulating the photic stimulation signals or the electric stimulation signals; the dual-mode detection module is used for detecting electrophysiological and neurochemical dual-mode signals of the neural system; the main control module is used for synchronously and cooperatively controlling stimulation of the nerve regulation module on the neural system and detection of the dual-mode detection module. According to the photoelectric regulation and dual-mode detection system for the neural information, a new research tool and means are provided for neuroscience research, rich information can be obtained, and meanwhile the problems that the experiment efficiency is low and data synchronization treatment is difficult due to the fact that different devices are adopted in photoelectric regulation and signal detection in the neuroscience research are solved.