19 results about "Nerve Impulses" patented technology

This invention discloses a method and device for detecting the load at the charging port of an electric vehicle charging pile, relating to the field of charging safety technology. The method includes: acquiring an electrical signal from the charging port; extracting a clean load response signal using a quantum noise-resistant processor based on Majorana fermion operators; inputting the clean load response signal into a pulse neural network autoencoder to generate a neural pulse sequence through a pulse firing mechanism; performing time-frequency domain transformation on the neural pulse sequence to reconstruct a complex impedance tensor, and solving the eigenvalue sequence of the complex impedance tensor; embedding the eigenvalue sequence into a five-dimensional anti-de Sitter space boundary based on the AdS / CFT duality principle, and generating a three-dimensional holographic tomographic map by solving the Einstein field equations relating the volume to the boundary; this invention achieves topological separation of noise and load signal through a Majorana zero-mode waveguide channel, solving the problem of insufficient high-frequency noise suppression in dynamic load scenarios.

This application provides a method, system, electronic device, and storage medium for recording electroencephalogram (EEG) signal data, comprising: acquiring an EEG signal to be recorded from target EEG data, wherein the EEG signal to be recorded is an EEG signal with nerve impulses; statistically analyzing the values ​​of the EEG signal to be recorded to obtain EEG signal characteristics of the target EEG data; classifying and labeling the EEG signal to be recorded according to the EEG signal characteristics, wherein the classification includes: normal EEG signals and abnormal EEG signals; and classifying and recording the normal EEG signals and / or abnormal EEG signals. This allows EEG signals to be divided into normal and abnormal EEG signals based on EEG waveforms, and records corresponding index addresses for different types of EEG signals, significantly shortening the retrieval time for EEG signals.

Various methods and apparatus for treating a condition associated with impaired glucose regulation in a subject comprising in one embodiment, applying a neural conduction block to a target nerve at a blocking site with the neural conduction block selected to at least partially block nerve pulses. In another embodiment, combinations of down-regulating and or up-regulating with are used to treat impaired glucose regulation. In other embodiments, up-regulation or down-regulation of various nerves, such as the vagus and its branches, are used to modify the secretion of insulin and glucagon from the pancreas, thereby controlling glucose levels. In yet further embodiments, combinations of down-regulating and or up-regulating are used to control sensitivity of the liver to plasma insulin and glucagon to treat impaired glucose regulation.

A device having a body defining at least one curved solid surface configured for manual supracutaneous stimulative pressure to a bodily acupoint resulting in a physiological response to a nerve leading to the spinal cord entry level and the brainstem to block or lessen overactive nerve impulses associated with overactive bladder (OAB), including nocturia, that result in a frequent urge to urinate. The body is shaped to interact and conform with the musculature and dermal folds that make up the soft contours of the human body to remain in place and to further promote stimulation of relevant acupoints.

At least one nerve bundle connects between a subject's brain and at least one eye of the subject. A limiting arrangement is deployed relative to the subject and a scene within the field of view of the subject. The limiting arrangement allows, at each instance of a first sequence of instances, a different part of the scene to be viewed by the at least one eye. A processing subsystem receives, for each instance of the first sequence of instances, a first signal value that corresponds to a nerve impulse transmission along the at least one nerve bundle in response to the subject viewing the part of the scene. The processing subsystem determines, for each first signal value, a corresponding pixel value. The determination is based on a plurality of pixel values and a plurality of signal values stored in a storage.

The embodiment of the invention discloses a pulse modulation parameter determination method and device, equipment and a medium. The method comprises the following steps: determining an electric field region generated on a preset target spot by a first pulse modulated according to a preset pulse parameter based on an implantation position of an electrode lead in the implantable medical system on the preset target spot; determining a target nerve fiber activated by the electric field area; based on a preset activation condition corresponding to the target nerve fiber, performing modulation processing on the preset pulse parameter to obtain a target pulse parameter; wherein the electric field area generated by the target pulse parameter does not activate at least one target nerve fiber, and the preset activation condition is a parameter condition required to be met by the pulse for activating the target nerve fiber. According to the technical scheme provided by the embodiment of the invention, the condition of abnormal nerve impulse after the pulse corresponding to the target pulse parameter stimulates the nerve fiber is avoided, and the working accuracy and safety of the implantable medical system are improved.

At least one nerve bundle connects between a subject's brain and at least one eye of the subject. A limiting arrangement is deployed relative to the subject and a scene within the field of view of the subject. The limiting arrangement allows, at each instance of a first sequence of instances, a different part of the scene to be viewed by the at least one eye. A processing subsystem receives, for each instance of the first sequence of instances, a first signal value that corresponds to a nerve impulse transmission along the at least one nerve bundle in response to the subject viewing the part of the scene. The processing subsystem determines, for each first signal value, a corresponding pixel value. The determination is based on a plurality of pixel values and a plurality of signal values stored in a storage.

This invention relates to the fields of basic research in cognitive neuroscience, large-scale artificial intelligence model architecture, brain-computer interfaces, and educational cognitive assessment. Specifically, it relates to a unified four-dimensional discrete-time spatiotemporal modeling method for basic neural information elements of the brain (neural impulses, neuronal cluster firing, and sensory neural signals). This method is based on a homologous and unified underlying theoretical framework and is an engineering embodiment of a unified four-dimensional discrete-time spatiotemporal cognitive system. It shares a completely homologous, isomorphic, and unified mathematical framework with the inventor's previously submitted "A Token Tagging Method and Cognitive System for Input Data of a Large Language Model." The only difference is that the AI ​​patent processes computational information elements (Tokens), while this patent processes biological information elements (neural impulses, sensory signals, and neuronal firing events). Together, they constitute a unified underlying architecture covering biological cognition and artificial intelligence.

Various methods and apparatus for treating a condition associated with impaired glucose regulation in a subject comprising in one embodiment, applying a neural conduction block to a target nerve at a blocking site with the neural conduction block selected to at least partially block nerve pulses. In another embodiment, combinations of down-regulating and or up-regulating with are used to treat impaired glucose regulation. In other embodiments, up-regulation or down-regulation of various nerves, such as the vagus and its branches, are used to modify the secretion of insulin and glucagon from the pancreas, thereby controlling glucose levels. In yet further embodiments, combinations of down-regulating and or up-regulating are used to control sensitivity of the liver to plasma insulin and glucagon to treat impaired glucose regulation.

Provided are a neural electric impulse detection method and system, and a terminal. The method comprises: acquiring an original neuroelectrophysiological signal, and performing filtering and threshold detection on the original neuroelectrophysiological signal to obtain a first neural electric impulse signal sample (S100); applying a skewed distribution assumption to the first neural impulse signal, obtaining, according to the moment estimation of a skewed distribution, a first probability density parameter, a location parameter, and a scale parameter of the skewed distribution of the first neural electric impulse signal sample, and obtaining, according to the first probability density parameter, the location parameter, and the scale parameter, a first probability density function (S200); determining whether the first probability density parameter is less than zero, and if so, using the first neural electric impulse signal sample as a second neural electric impulse signal sample (S300); using kernel density estimation to perform a calculation on the second neural electric impulse signal sample to obtain a second probability density function (S400); and calculating information divergence between the first probability density function and the second probability density function, determining, according to the information divergence, whether the first neural electric impulse signal sample belongs to a neural electric impulse, and outputting a determination result (S500). The method has the advantages of rapidness, high efficiency, high noise resistance, good specificity, and eliminating the need for template matching.

The invention discloses a neuron emission rate time sequence prediction method based on spatio-temporal feature fusion. The method comprises the following steps: (1) obtaining original neural pulse data from a neural activity public data set, an experimental acquisition system or a neural signal simulation platform; (2) constructing a space-time Transform model combined with the transfer entropy, wherein the model structure comprises an input presentation layer, a time attention layer, a space attention layer, a transfer entropy calculation layer and an output layer; (3) constructing a joint loss function, and training the space-time Transform model constructed in the step (2) by using the original nerve pulse data obtained in the step (1); and (4) in an inference test stage, inputting neural pulse data to be predicted into the trained space-time Transform model to obtain a prediction result of the emission rate of the neurons. According to the method, the space-time Transform model combined with the transfer entropy is constructed, so that accurate prediction of the distribution rate of the neuron population is realized.

The invention discloses a dynamic adjustable curved surface detector imaging system, and relates to the technical field of optical engineering and adaptive optics. Based on an adaptive compression sampling mechanism of neural pulse gradient distribution, the sampling density of a high-dynamic region is improved by one order of magnitude, a mechanical deformation process is directly replaced, and the imaging efficiency is improved. The limitation of hardware delay on the frame rate is eliminated; the millisecond-level transmission process of the neural signal is completely captured, and signal loss caused by insufficient frame rate in a traditional scheme is avoided; a joint optimization framework of space-time tensor modeling and curved surface geometric mapping is adopted, and distortion correction and sequence reconstruction are synchronously completed in single solution; due to the introduction of an alternating direction multiplier method, strict synchronization of geometric deformation compensation and texture recovery is ensured, and motion blur or edge distortion caused by error accumulation in step-by-step processing is avoided; and a dynamic weight mechanism of tensor multimode nuclear norm constraint automatically adjusts the low-rank constraint intensity according to the space-time structure complexity.

The invention discloses an intelligent naval vessel steering method and system fused with neuromorphic calculation, and the method comprises the steps: obtaining the feature values of a plurality of sensor data, screening out the abnormal feature value of each sensor data, and coding the abnormal feature value into a set of neural pulse event values in a pulse form, which is used for simulating the response of neurons to abnormal information; expanding the set of the neural pulse event values in a rudder angle strategy space to form a neural response intensity which dynamically changes along with time and is used for simulating the response sensitivity of neurons in all directions; and projecting the neural response intensity to a rudder angle strategy space to form a rudder angle strategy map dynamically changing along with time, and extracting an optimal strategy rudder angle from the rudder angle strategy map as a final rudder angle of the naval vessel so as to complete intelligent steering of the naval vessel.

The present invention relates to a composition for improving concentration, which comprises 10-20 parts of dried oil rush bean powder by weight, 1-2 parts of phosphatidylserine, 10-15 parts of vegetable oil, 0.5-1.5 parts of spirulina powder, 80-100 parts of milk powder and 250-300 parts of water. The oil rush bean has a neuroprotective effect and improves concentration by improving the activity of the central nervous system, increasing the level of neurotransmitters, and improving cerebral blood circulation. Phosphatidylserine can improve the function of nerve cells, regulate the conduction of nerve impulses, increase blood supply to the brain, and provide nutrition to the brain. There is a synergistic effect between the oil rush bean and phosphatidylserine, which jointly promotes the improvement of brain function and concentration. The rich antioxidant components in the dried oil rush bean powder improve the stability of phosphatidylserine.

The invention discloses an integrated biological photoelectrode with an active noise reduction function. The integrated biological photoelectrode with the active noise reduction function comprises a light emitting diode, an active noise control line and at least one microelectrode. By arranging the light-emitting diode and the microelectrode, the nerve cells can be subjected to light stimulation through the light-emitting diode, so that the nerve cells move to generate nerve impulse signals, and the nerve impulse signals are collected through the microelectrode to be processed, analyzed and studied; by arranging the active noise control line, an electric signal can be applied to the active noise control line, so that the noise influence generated when the light emitting diode works is counteracted, the active noise reduction function is achieved, and it is guaranteed that the integrated biological photoelectrode detects clearer signals. The method is widely applied to the technical field of biosensing.

The invention is suitable for the technical field of glasses, and provides a pair of glasses for improving blepharospasm mouth and mandibular muscular dystonia discomfort, which comprises a glasses frame divided into two symmetrical lens brackets, and the outer sides of the two lens brackets are respectively provided with a glasses leg I and a glasses leg II; the nose pad I and the nose pad II are respectively arranged on the two lens brackets; the mounting groove I, the mounting groove II and the mounting groove III are respectively formed in the lens bracket on one side; the fourth mounting groove, the fifth mounting groove and the sixth mounting groove are respectively formed in the lens bracket on the other side; the first adjusting rod assembly and the second adjusting rod assembly are movably mounted on the first mounting groove, the second mounting groove, the third mounting groove, the fourth mounting groove, the fifth mounting groove and the sixth mounting groove respectively. The device can interfere with abnormal nerve impulse of a patient and restrain non-autonomous spasm of muscles, so that symptoms such as eyelid closure and spasm of muscles of the face and the lower jaw are relieved.

This invention provides an integral firing neuron circuit and its operation method, relating to the field of semiconductor device technology. A pulse application circuit is coupled to the electrodes of a VCMA-MRAM device to apply a sequence of voltage pulses. This causes the resistance of the VCMA-MRAM device to switch between multiple resistance states in response to the voltage pulse sequence, sequentially simulating the neuron's integration phase, firing phase, and refractory period reset phase. An output detection circuit is coupled to the VCMA-MRAM device to detect voltage changes generated when the device's resistance changes, and generates neural pulse signals based on these voltage changes. This circuit, through VCMA-MRAM device simulation and precise voltage-driven control, simplifies the circuit, avoids physical interference caused by current-driven operation, improves the fit with biological characteristics, and provides a simple, reliable, and energy-efficient hardware implementation scheme for integral firing neurons.

The invention relates to the technical field of artificial intelligence, in particular to a bionics-based artificial neuron network and artificial intelligence model, which comprises an artificial neuron, and is composed of a signal processor, a signal transceiver and an energy module which are positioned on the inner layer, and a plurality of magnets and magnet fixing frames which are positioned on the outer layer, the signal processor is in communication connection with the signal receiving and transmitting device through electric signals, the adjacent magnets are connected through the magnet fixing frames, and the energy module is used for providing power support for artificial neurons; the artificial neuron network is composed of a shell layer used for packaging the artificial neurons, a large number of the artificial neurons located in the shell layer and a transparent or semitransparent film used for carrying out region segmentation on the large number of the artificial neurons; according to the invention, nerve impulses transmitted by neurons in a real central nervous system can be simulated, and the space deduction capability and the deduction capability of a real physical process are realized.

The application provides a preparation method of lidocaine-containing polycaprolactone microsphere injection, and belongs to the technical field of facial filler preparation; the preparation process comprises the following steps: preparing modified gelatin hydrogel; preparing sustained-release antibacterial gel; preparing polycaprolactone microspheres; and preparing polycaprolactone microsphere injection. According to the application, lidocaine is added into the polycaprolactone microspheres, so that the lidocaine plays a role of anesthesia after people inject the polycaprolactone microsphere injection; the lidocaine can inhibit the generation and conduction of nerve impulses, leads to loss of sensation or numbness, and realizes the effect of local anesthesia, so that the pain of the patient can be relieved without additional use of anesthetics.