7 results about "Visual cortex" patented technology

This disclosure relates to a method, system, device, and medium for processing visual cortex photoelectrostimulation. The method includes: acquiring a visual stimulus pattern; determining a mathematical model based on the visual stimulus pattern; generating a visual stimulus signal of a target paradigm according to the mathematical model; acquiring the user's electroencephalogram (EEG) signal and eye and / or pupil response signal corresponding to the visual stimulus signal; processing the response signal to obtain a visual cortex response signal of a target format; acquiring the EEG signal and visual cortex response signal under multiple different target paradigms; selecting different processing methods to extract features from the EEG signal and visual cortex response signal according to different target paradigms to obtain multiple target features; evaluating based on the multiple target features to obtain an evaluation result; and displaying the evaluation result in the form of charts and numerical values ​​on the user terminal interface. This technical solution combines multiple advanced stimulus generation, recording, and analysis methods, making it suitable for various scenarios.

The application provides a robot positioning mapping method based on a visual cortex and hippocampus space coding, and the method comprises the following steps: acquiring linear velocity and angular velocity through a wheel encoder and an inertial measurement unit, and obtaining robot pose information through path integration; collecting scene images by using a camera and extracting GIST features, obtaining a winning cell in a view cell network through Euclidean distance matching, updating weights, and introducing a posteriori entropy adaptive threshold to perform robust scene matching; storing the pose information and the successfully matched weight vector into a hippocampus CA1 area location cell, eliminating cumulative errors through iterative optimization, controlling the map size through space density redundancy pruning, and adopting a hierarchical switching strategy to perform scale stretching optimization, so that fast mapping is realized. Through simulating a biological space coding mechanism, the application improves scene recognition robustness, positioning consistency and mapping efficiency, and is suitable for intelligent navigation of a mobile robot.

The application discloses a light adjustment method based on real-time neural safety monitoring and related equipment, and belongs to the technical field of data processing. Wherein, the method comprises: in the case of adjusting light to the user, collecting the user's retinal electrical response signal and visual cortex electrical response signal; extracting the electrical response parameter value from the retinal electrical response signal and the visual cortex electrical response signal; calculating the deviation degree value of the electrical response parameter value relative to the preset parameter value; determining the pathological waveform mode information of the functional abnormality according to the deviation degree value; according to the deviation degree value and the pathological waveform mode information, executing the hierarchical response measures, the hierarchical response measures including at least one of the following: outputting prompt information, reducing the output power of the adjustment light, suspending the light output of the adjustment light, and terminating the light output of the adjustment light.

Devices, systems, and methods for a treating dementia or Alzheimer's disease in a subject in need thereof. In one example, combined auditory and visual stimuli having a frequency of about 20 Hz to about 60 Hz, and more specifically about 40 Hz, are noninvasively delivered to the subject to induce synchronized gamma oscillations in at least one brain region of the subject. In particular, pursuant to various treatment and exposure protocols, combined auditory and visual stimulation (as opposed to auditory or visual stimulation alone) promotes a microglia response in the medial prefrontal cortex (mPFC). More generally, combined auditory and visual stimulation induces an extended microglia clustering response in the auditory cortex, the visual cortex, and the mPFC.

The application provides a visual search-oriented biological brain neuron activation mechanism analysis method and device. The application takes a mouse as a model animal, (1) proposes a neuron activation analysis method based on target stimulation correlation, solves the representation problem of the sparse activation mechanism of the visual cortex neuron, (2) proposes a neuron activity pattern analysis method based on the functional hierarchical division of the mouse visual brain area, solves the representation problem of the hierarchical activation mechanism of the visual cortex neuron, and (3) introduces a background noise control experiment in visual stimulation, and solves the representation problem of the visual cortex neuron activation distribution law under the influence of background stimulation noise.

This invention provides a method and system for constructing a neural network based on visual search. The method includes: conducting visual search experiments on experimental subjects with and without background noise to obtain brain imaging data of the subjects; for each sub-experiment, based on the brain imaging data, determining the neurons contained in each visual cortex and the neurons in each visual cortex related to visual stimuli; based on the neurons contained in each visual cortex and the neurons in each visual cortex related to visual stimuli in each sub-experiment, performing biological brain neuron activation mechanism analysis to obtain the sparse activation mechanism, hierarchical activation mechanism, and activation distribution law of visual cortex neurons; and constructing a target neural network based on at least one of the sparse activation mechanism, hierarchical activation mechanism, and activation distribution law. This invention solves the representation problem of sparse activation mechanism, hierarchical activation mechanism, and activation distribution law, which can improve the robustness of neural networks and reduce power consumption.

The application belongs to the technical field of image processing, and provides a brain function magnetic resonance imaging head motion correction method, device, equipment and medium, wherein the method comprises: acquiring a brain function magnetic resonance image, processing the brain function magnetic resonance image through a head motion correction model to obtain a head motion correction result; wherein the head motion correction model generates a target deformation image through a smoothing deformation field, and then performs sampling and time sequence enhancement processing to obtain a training sample, adopts a visual cortex-like topological feature space information distribution mechanism and a prefrontal cortex-like working memory characteristic time sequence information coherence mechanism to perform spatial perception logic and time sequence context association on the training sample, and adopts a bidirectional optical flow network and a back-like attention network to select a characteristic weight adaptive distribution mechanism, and performs self-supervised fine-tuning on real data. Through the above scheme, the precision and robustness of brain function magnetic resonance imaging head motion correction are improved.