9 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.

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.

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.

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 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.