54 results about "Neuroscience research" patented technology

The invention provides a character memory alignment method for a role-based large language model. Role playing data adopted in the prior art generally only comprises simple character description or psychological index (such as personality and personality characteristics) data, so that a character big language model can generate words according with character characteristics according to character attributes of a character. However, psychology and neuroscience researches show that human speech is not only influenced by internal factors such as personality, personality and the like, but also obviously influenced by memory. An existing role-based large language model lacks dominant alignment training for role memory in the training process, so that role playing accuracy is insufficient. Compared with the existing research, the role memory is creatively and explicitly integrated into the supervised fine-tuning training process instead of being only used in the reasoning stage, so that the role-based large language model can play a target person from the two dimensions of role character attributes and role memory at the same time, and the more accurate, coherent and humanized role playing ability is realized.

The invention relates to the technical field of biomedical engineering, in particular to an atlas making and registering method and system for a mouse brain in a special development period, and the method comprises the following steps: carrying out the data preprocessing of a mouse brain image, and obtaining a reconstructed image; averaging the plurality of reconstructed mouse brains by adopting an iterative registration mode, making an average template, then labeling the average template to make a brain region template, and then generating a structure information file of a mouse brain map; and performing registration on the individual mouse brain image and the mouse brain map to realize accurate alignment of the brain region. According to the method provided by the invention, the appropriate atlas can be specially drawn for the mouse brain in the special development period and registration is carried out under the condition that no existing atlas exists, the characteristics of the VISoR imaging technology are fully considered, good adaptation with the imaging technology is realized, the accuracy of image registration of the mouse brain in the special development period is improved, and the accuracy of image registration of the mouse brain in the special development period is improved. A more accurate tool is provided for neuroscience research, and deep research on the brain structure and function of the mouse in the special development period is promoted.

The invention discloses a motor imagery-oriented EEG (electroencephalogram) high-temporal-resolution brain activity state characterization model, which relates to the technical field of signal processing, and is characterized by comprising a double-layer state space embedding module, a task-related evaluation module and a low-dimensional subspace characterization module. According to the method, a double-layer state space embedding module is adopted for representation, time sequence information is completely reserved, high-resolution EEG dynamic modeling is achieved, and brain dynamics changes in a motor imagery task are accurately captured; according to the method, task correlation measurement and low-dimensional space representation are combined, the task correlation influence of the feature sequence is enhanced, the noise influence is weakened, and high classification precision is still kept in a data scarcity or noise environment; according to the method, the classification accuracy is superior to that of an existing model, the ability of understanding and analyzing the brain dynamics process is remarkably improved, and the potential of the EEG decoding technology in neuroscience research and brain-computer interface application is expanded.

The invention belongs to the technical field of mouse neuroscience research, and relates to a multi-modal mouse virtual reality and nerve recording integrated system based on skull anchoring, which comprises a skull anchoring basic support, a binocular miniature VR display module, a multi-modal fixed expansion frame and a behavior and power supply platform. According to the invention, the skull screw is used as a unique space reference, accurate limiting of the head is realized through rapid butt joint of the MMA and the external fixing rod, and rapid plugging and coordinate multiplexing of equipment for two-photon imaging, optical genetic stimulation and the like are realized in combination with an M2 anchoring hole preset in the MMA; the total mass of the whole machine is strictly controlled within 3.2 g; the optical system provides panoramic visual stimulation with a horizontal field angle of 140 degrees, completely covers a key binocular vision area on the top of the mouse head, and supports high-order cognitive task paradigms such as complex ecological visual navigation, spatial memory and social interaction.

The invention discloses a visual evoked brain signal decoding method and system based on a multi-modal diffusion model, and the method can reconstruct a high-resolution image from an fMRI signal and generate a descriptive text. According to the method, an fMRI signal is mapped to an image-text detail potential feature space and an image-text advanced semantic feature space of a CLIP model through a lightweight regression model, and an image and a text are generated under the guidance of a joint condition by using a multi-modal diffusion model. According to the method, multi-condition semantic information of image and text features is fused, high-fidelity image and text description are generated from brain signals at the same time by using a multi-mode potential diffusion model for the first time, and the superior ability of functional brain region analysis in the aspect of specific semantic content decoding is revealed. The invention provides a solution for brain-computer interface, neuroscience research and medical auxiliary diagnosis.

According to the invention, a collaborative deformable mirror, a two-dimensional galvanometer scanning system and a high-precision three-dimensional displacement sample table are designed, and rapid tracking and spot scanning imaging of a freely moving sample are completed. And under the condition of single cell analysis resolution, the tracking range is large, and the imaging speed is high. As the galvanometer controls the deflection angle through the driving voltage, the propagation path of the imaging light path can be efficiently adjusted in real time. Therefore, the tracking response speed based on the galvanometer scanning system is obviously superior to that of a traditional mechanical displacement compensation mode. The displacement is compensated through the sample table, and the tracking range is expanded. The displacement compensation process adopts a sample motion trail pre-judgment algorithm, is carried out in real time and is small in compensation amount, and rapid response of the system is ensured; displacement compensation and galvanometer tracking work cooperatively, the tracking speed is optimized, and spot scanning imaging is completed at the same time. Axial scanning is completed by modulating excitation light wave front through a deformable mirror. The system is integrated with a light stimulation module, wavefront phase modulation is carried out on stimulation light by utilizing a spatial light modulator, single-point or multi-point focusing is realized, single or multiple neurons can be accurately controlled, and the system has important significance on research of neuroscience.

A method for evaluating the spatial learning and memory ability of tree shrews using a cheese board maze, which includes three steps: experimental preparation, experimental training, and determination of modeling indicators. In experimental preparation, various parameters such as the cheese board maze device, experimental layout, and environmental settings are optimized and designed. In experimental training, training is carried out before and after hippocampal lesion. A behavioral paradigm for evaluating the spatial memory of tree shrews is successfully established, and the modeling criteria and indicators are reasonably formulated. The successful establishment of the spatial learning and memory tree shrew model of the present invention provides a behavioral experimental method applicable to tree shrews for subsequent neuroscience research such as constructing AD models, in vivo electrophysiological recordings, and optical recordings, and can also provide more powerful scientific data for researchers in the research of multiple disciplines and fields such as spatial coding, learning and memory, new drug development, screening, and evaluation.

The invention relates to a kit for detecting Tau-181 protein and application, and relates to the technical field of biological detection.The kit comprises a first antibody coupled with a first component of DNAzyme with catalytic activity, a second antibody coupled with a second component of DNAzyme with catalytic activity, phi29DNA polymerase, dNTPs, an annular DNA template, an initiation primer, a fluorescent beacon probe and a reaction buffer solution; the Tau-181 protein detection technology based on double-antibody sandwich coupling DNAzyme is used for quantitatively detecting the content of the Tau-181 protein in a biological sample in vitro, and can be applied to the fields of neuroscience research and clinical diagnosis, especially in the processes of early diagnosis, disease monitoring and drug research and development of neurodegenerative diseases such as Alzheimer's disease. And the method has important significance in the aspects of detection and analysis of a disease-related biomarker Tau-181 protein and the like.

A magnetic resonance-compatible programmable synchronized photostimulation system includes a main control unit and a stimulation execution unit. The main control unit is located outside the magnetic resonance scanning room, while the stimulation execution unit is located inside the scanning room and consists only of an LED light panel shielded by a magnetic field. The main control unit is configured to: receive photostimulation sequence parameters configured by the user in a modular manner through a graphical interface; receive a scan trigger signal from the magnetic resonance equipment, and automatically control the start and stop of the photostimulation sequence based on the trigger signal using hardware triggering; thereby achieving high-precision time synchronization between photostimulation and magnetic resonance scanning while maintaining magnetic resonance compatibility. This invention solves electromagnetic compatibility issues through a split architecture, achieves millisecond-level synchronization accuracy through hardware TTL triggering, and enhances experimental paradigm flexibility through modular programmable sequences, making it suitable for neuroscience research fields such as functional magnetic resonance imaging.

The application discloses a kind of neural electrophysiological spike signal sorting methods based on small batch K-means clustering, comprising:1, acquisition electrophysiological data and pretreatment, to eliminate noise and enhance signal quality;2, using optimized clustering algorithm small batch K-means, obtain general template from data, based on general template, the nearest L channel of detected spike is carried out principal component feature extraction, and updated general template is obtained;3, based on graph clustering algorithm, the updated general template is accurately clustered, so as to obtain learning template;4, using learning template carries out spike detection and combines the graph clustering method of step 3 and outputs final spike clustering result.The application can significantly improve the processing speed and classification accuracy of electrophysiological data, realize the rapid and accurate identification of neuronal activity, provide a kind of efficient data analysis tool for neuroscience research, significantly reduce the time cost of data processing, and improve research efficiency.

This invention relates to the field of neuroscience research and biomedical engineering experimental equipment, and discloses a stereotaxic brain localization device suitable for turtles and its usage method. The device includes an original base plate, an extended base plate assembly connected by splicing, a turtle shell limiting assembly mounted on the base plate, a curved platform, a modified semi-circular ear rod, a mouth clamp with an endotracheal intubation port, and a magnetic skull leveler. This invention expands the operating space through the extended plate and uses an arc-shaped limiting baffle to fix the turtle's position; the specially designed semi-circular ear rod adapts to the shallow concave middle ear structure of turtles, avoiding damage; the mouth clamp integrates height and length adjustment functions and has a reserved endotracheal intubation channel to maintain the experimental animal's respiration; the magnetic skull leveler can precisely adjust the head level using four corner nuts. This device enables precise localization of turtle brain regions and electrode implantation, providing stable and accurate hardware support for turtle movement regulation and neuroscience research.

The invention belongs to the technical field of brain function network modeling and fMRI data analysis, and discloses a multi-task brain function network modeling method based on an L2 regularization convolution encoder. According to the method, a full convolution architecture is adopted, limitation of a full connection layer is avoided, fMRI data of different lengths are self-adapted, and cross-task universal feature learning is realized; and in combination with the time and channel attention mechanism of L2 regularization, the model characterization capability is enhanced, and the over-fitting risk is reduced. And through a Pearson's correlation coefficient, a space overlapping ratio and a genetic similarity ratio, a task-related function network and a resting state brain network are automatically identified, and the hierarchical organization of the brain function network is disclosed. According to the method, the accuracy and stability of fMRI data analysis can be improved, brain disease diagnosis, neuroscience research and personalized medical treatment are assisted, compared with a traditional method, the method has higher interpretability and robustness, and the efficiency of brain function image analysis is improved.

The invention relates to a nerve regulation and control device and a control method. The nerve regulation and control device is used for generating ultrasonic waves to stimulate intracranial nerves. The nerve regulation device comprises a main body and an ultrasound generating unit. The main body is configured to be suitable for being arranged on at least one of the forehead and the temples on the outer side of the head, and the ultrasonic generation unit is arranged on the main body and is configured to controllably provide ultrasonic waves to an intracranial target area. Wherein the ultrasonic generation unit is configured to provide ultrasonic waves with the frequency ranging from 0.02 MHz to 0.8 MHz into the cranium, so that the ultrasonic waves can penetrate through biological tissues with the set depth in the cranium and then reach the target area. The nerve regulation and control device and the control method provided by the invention can be widely applied to nerve regulation and control of various diseases, meanwhile, the application safety is ensured, and a new solution is provided for neuroscience research and clinical treatment.

The invention discloses a space-time modeling method for improving a human brain communication process by activating a network. The space-time modeling method comprises the following steps: S1, integrating data; s2, data preprocessing; s3, activity and background of function connection; s4, function connection calculation activity; s5, constructing a high-low activation network; s6, performing graph theory analysis and classification; s7, performing statistical test; and S8, obtaining a result. Experimental results show that the AFC shows high correlation with potential dynamics, in addition, the activation network shows more multi-region interaction in space and has high sensitivity to mental state change, more information of large-scale brain network communication is temporarily revealed with a stable communication effect and low cost, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. According to the method, verification is carried out through an application program, disease classification is achieved, the network activation is an important framework for understanding the brain network, new insights are provided for brain network construction through research, and the potential of using the network activation in network neuroscience research is emphasized.

The invention relates to the technical field of neuroscience, in particular to a craniotomy method for obtaining complete rat brain tissue, which comprises two parts of early-stage preparation and skull opening. The early-stage preparation comprises anesthesia, scalp incision and fascia cleaning. The skull opening sequence is sagittal seam cracking, top seam cracking and partial skull opening in sequence. Refined operation design is performed according to skull anatomy, so that the method is remarkably superior to the prior art in the aspects of integrity, operation efficiency and applicability of obtained brain tissues, and reliable technical support is provided for neuroscience research.

The invention discloses an intelligent nematode regulating and monitoring system, which mainly covers a physical induced movement system and a nematode movement detection system, and the physical induced movement system and the nematode movement detection system realize collaborative operation by means of the same set of matched software. The set of matched software has two core functions of regulation and monitoring, a physical induction movement system and a nematode movement monitoring system are enabled respectively, and efficient management and control and monitoring of the whole system are achieved. On one hand, analysis of an influence mechanism of physical stimulation on nematodes is facilitated; on the other hand, due to the important value of the nematodes in the fields of medicine research and development, neuroscience and the like, the application range of the device can be expanded. In the field of drug research and development, the nematode model can be used for simulating a human body environment, evaluating drug activity and screening life-prolonging drugs; in the neuroscience research, the research on the relationship between a nervous system and movement and the pathogenesis of neurodegenerative diseases can be assisted; in the aspect of senescence research, senescence indexes of the nematodes are regulated, stimulated and monitored, and a senescence delaying method is explored.

The invention discloses an intrusive cerebral cortex electric signal micro-state analysis method, which comprises the following analysis steps: step 1, signal acquisition and preprocessing: implanting a cortex surface electrode array into a dog, acquiring a dog ECoG signal, and preprocessing the acquired dog ECoG signal as an original signal; step 2, performing frequency band division processing, and designing a digital filter to decompose the signal into a plurality of frequency bands according to the spectral characteristics of the canine ECoG signal; step 3, segmenting the signal in each frequency band by using a rolling sliding window method, and setting a window length and an overlapping rate; and 4, calculating a signal sample in each sliding window by using a differential entropy index according to a calculation formula which is based on Gaussian distribution hypothesis and directly adopts a non-parametric method 1. The invention provides a new analysis tool for basic neuroscience research, can also be applied to disease diagnosis, behavioral research and intelligent signal processing systems in clinical veterinary medicine, and has remarkable scientific research and application values.

The invention belongs to the technical field of biological medicine, and discloses an AAV2 capsid protein VP1 mutant and application thereof in gene delivery. Compared with a wild type AAV2 capsid protein VP1, the AAV2 capsid protein VP1 mutant has the advantages that aspartic acid at the 561st site is mutated into glutamine, glutamic acid at the 563rd site is mutated into asparagine, arginine at the 566th site is mutated into alanine, glutamine at the 575th site is mutated into proline, and serine at the 580th site is mutated into alanine. According to the AAV2 capsid protein VP1 mutant, the production efficiency of recombinant adeno-associated viruses and the transduction efficiency of the recombinant adeno-associated viruses in a central nervous system are remarkably improved, and the AAV2 capsid protein VP1 mutant has great application value and market prospects in the aspects of neuroscience research, disease model establishment, gene therapy and the like.

The application belongs to the technical field of neuroscience research, and particularly relates to a mouse brain embedding box for neuroscience research and a low-temperature storage device thereof. The mouse brain embedding box comprises a storage cabinet, a separation assembly arranged in the storage cabinet, a refrigeration assembly arranged in the storage cabinet, a plurality of placing assemblies arranged in the storage cabinet, the plurality of placing assemblies being respectively located at the top of a plurality of second partitions, and a plurality of gas storage assemblies arranged in the storage cabinet. The embedding box is stored in a storage drawer, so that the whole is not exposed when a single embedding box is stored or accessed, and cold air leakage is effectively reduced. When the storage drawer is pulled out, the cold air is stored in a gas storage tank by the gas storage assembly, and when the storage drawer is retracted, the cold air in the gas storage tank is sent back to the storage drawer by the gas storage assembly, so that the cold air can be recycled, and the effect of reducing cold air waste is achieved. The problem of unnecessary energy waste caused by the existing refrigeration device in the process of taking the embedding box is solved.

The invention discloses an electrode acquisition method based on a light-operated ion channel. The method comprises the following steps: recording a membrane current by adopting an integrated optical fiber electrode in combination with real-time artifact compensation at a single cell layer; space-time coding light stimulation and network characteristic analysis are realized by group recording through a microelectrode array; the planar microelectrode chip is integrated with optical waveguide and microfluidics, and light regulation and drug perfusion are carried out in parallel; a wireless silicon probe is used for synchronous behavior and light stimulation in an in-vivo experiment; noninvasive EEG recording is combined with deep light regulation and control, and light induction response is separated; and finally, fusing cross-scale data through tensor decomposition and machine learning, and optimizing photostimulation parameters. The method has the advantages that the light artifact inhibition rate is increased to 92% or above, the light energy utilization rate is increased by 38%, the multi-mode data processing efficiency is increased by 20 times, the problems of single-mode collection limitation, artifact interference and low regulation efficiency are effectively solved, and an innovative tool is provided for neuroscience research and clinical application.

The utility model relates to a spiral electrode implanting device, belong to medical instrument technology or the field of neuroscientific research, spiral electrode implanting device is located on the intracranial blood vessel wall, including a spiral support, electrode wire and developing object, the body of spiral support is a spiral shape, the electrode wire that is provided with on the support body is a spiral shape, the both ends of spiral support are equipped with developing object, the utility model can adopt the way of through blood vessel intervention, implants the electrode, gathers the electric signal, simple structure can realize high degree, electrode and blood vessel wall good adhesion, electrode gathers signal effect good, the cross section is small, can be transported through the small sheath, can reach the far end small blood vessel far end, satisfy brain deep position electrode collection and the electrode implanting requirement of intracranial multiple point (brain area).

The present invention relates to a method for mechanically regulating calcium ion signals in nerve cells using an Airy beam-manipulated “optical bullet.” The method involves first preparing the “optical bullet” and culturing HT-22 cells. The cellular calcium ion signals are then dynamically regulated, and finally, images of the regulation process are monitored and recorded in real time using a CMOS camera. This method enables non-contact mechanical stimulation of nerve cells. It not only breaks through the spatial resolution limitations of traditional neuromodulation techniques but also provides a non-invasive, highly biocompatible means of regulating neural signals. Furthermore, combined with real-time fluorescence monitoring technology, the present invention enables intuitive assessment of regulatory effects, providing a novel tool for neuroscience research and clinical applications.

The invention belongs to the technical field of neuroscience research, and particularly relates to a mouse brain embedding box for neuroscience research and a low-temperature storage device thereof.The mouse brain embedding box comprises a storage cabinet, a separation assembly arranged in the storage cabinet, a refrigeration assembly arranged in the storage cabinet, and a plurality of placement assemblies arranged in the storage cabinet; the multiple placement assemblies are located at the tops of the multiple second partition plates correspondingly, and multiple gas storage assemblies are arranged in the storage cabinet. According to the invention, the embedding box is independently stored in the storage drawer, overall exposure is avoided when the single embedding box is stored and taken, cold air leakage is effectively reduced, cold air is stored in the air storage box through the air storage assembly when the storage drawer is pulled out, and cold air in the air storage box is sent back to the storage drawer through the air storage assembly when the storage drawer retracts; cold air can be recycled, and the effect of reducing cold air waste is achieved; the problem that unnecessary energy waste is likely to be caused in the process of taking the embedding box of an existing refrigeration device is solved.

The invention provides application of auramine O in neuronal death and DNA damage detection and a detection method. Auramine O is an ultrafast fluorescent rotor which is rarely applied to tissue staining, can be specifically combined with an endangered or dead neuron, and shows a spatial and temporal distribution characteristic consistent with Fluro-Jade B staining. The technology is extremely sensitive to desoxyribonuclease pretreatment, which indicates that the binding site of auramine O is mainly located in the damaged neuron DNA molecule, so that auramine O not only can detect neuron death, but also can reflect the damage condition of neuron DNA. According to the technical scheme, operation is fast and simple, and the influence of a sample fixing mode is small; the method can be independently applied to detection of neuron death and can also be combined with other fluorescence detection technologies for application. According to the technology, damaged neurons are disclosed, neuron death detection and neuron death mechanism research are combined together, and an effective means is provided for neuroscience research.

The invention provides a diffusion magnetic resonance imaging method and system for high-b-value synthesis. The method comprises the following steps: acquiring a plurality of low-b-value diffusion weighted images; gradient direction consistency resampling is carried out by using a spherical harmonic function; establishing a mathematical model to carry out parameterized representation on the low b value DWI signal; establishing and training a de-noising diffusion probability model, and synthesizing ultra-high b value data by taking the low b value DWI data as input; the finally generated ultrahigh b-value diffusion weighted image can be used for tasks such as nerve tissue microenvironment analysis, nerve disease detection, brain connection group research and the like. According to the method, a high-quality ultrahigh-b-value DWI image can be obtained without high-gradient magnetic resonance scanning equipment, the data acquisition cost is reduced, the accuracy of neural image analysis is improved, and important technical support is provided for neuroscience research and clinical application.

The invention discloses a neural pulse rapid sorting method and system based on a multi-stage self-adaptive strategy. The neural pulse rapid sorting method and system are suitable for real-time processing of MEA, multi-channel electrophysiology, deep brain recording and brain-computer interface data. The system comprises a data import module, a preprocessing module, an adaptive threshold detection module, a waveform feature extraction module, a multi-scale clustering module, a template updating module, a quality evaluation module and a result export module. According to the system, a dual-channel parallel high-pass filtering and self-adaptive MAD threshold value method is adopted, and real-time pulse detection which is free of artificial participation and can be directly carried out through CPU peak-splitting sorting is achieved; in the clustering stage, UMAP dimension reduction and HDBSCAN dense clustering are combined, and noise drift self-calibration in continuous records is supported; the template updating strategy is based on dynamic time warping (DTW) and Bayesian fusion, and can automatically eliminate false peaks, merge similar templates and split aliasing units. The system supports large-scale batch processing accelerated by the GPU, and the data processing time of 32 channels and the sampling rate of 20 kHz in one hour is shortened to 1-2 minutes. The method solves the problems that the speed is low, parameters highly depend on expert experience, drift correction is insufficient and repeatability is poor in existing spike sorting, and can be applied to neuroscience research, brain-computer interface and disease mechanism research and clinical electrophysiology monitoring.

The present application relates to the field of experimental animal behavior and neuroscience research technology, and relates to a multi-modal sensor-based experimental animal physiology and behavior synchronous analysis system, which comprises: an integrated sensing module, which applies uniform time stamps to the original time stamps of multi-sensor data through a hardware synchronization bus and a high-stability clock source; a data aggregation and processing unit, wherein a time alignment module generates synchronous fusion data streams accordingly, a causal analysis module performs online real-time calculation on the data streams through a sliding time window, and a Granger causality test is used to dynamically identify causal correlation events between the nervous system and behavior; and a feedback stimulator, which is used to apply stimulation within a millisecond-level delay after the causal events are identified, thereby constituting a closed loop. The present application solves the problem of high-precision synchronization of multi-modal data in a free activity scenario, realizes a leap from a "correlation" to a "causality" based closed-loop intervention paradigm, and provides a powerful tool for neurobehavioral research.

The application discloses a cross-scale consciousness synchronization quantification underlying method, through collecting neural level synchronization indexes (alpha / beta wave coherence), quantum enhancement factors (axion / gravitational wave weak disturbance contribution values) and external interference factors (environment / physiological noise parameters), standardizing multi-dimensional data to a unified interval, and substituting into a basic formula to calculate a consciousness synchronization degree basic value; a biological coupling factor (brain long axis signal standardized value) and an entropy-containing factor (gravitational wave weak disturbance value) can be introduced to optimize weight distribution and improve quantification precision. The application realizes fusion calculation of neural and quantum multi-scale data, effectively improves the accuracy and robustness of consciousness synchronization quantification, and is suitable for brain-computer interface, consciousness monitoring, neuroscience research and other scenes.

The invention belongs to the technical field of psychological research equipment, and particularly relates to an experimental seat for psychological brain science research, which comprises an electrode helmet, a seat plate and a base, a support is fixedly mounted on the base, the electrode helmet is slidably mounted at the upper end of the support through a connecting rod, and the seat plate is slidably mounted on the support. An arc-shaped display screen is arranged on the front side of the electrode helmet, the arc-shaped display screen is movably connected with the electrode helmet, handrails are arranged between the electrode helmet and the seat plate, the number of the handrails is two, and the two handrails are rotationally installed on the two sides of the support respectively; the connecting rod is slidably connected to a support in a sleeving mode through a sliding sleeve, an air cylinder is arranged on the support, and a lifting shaft is slidably inserted into the air cylinder in a sealed mode. When the arc-shaped display screen is used for an experiment, the arc-shaped display screen is of a surrounding structure and covers the visual range of eyes, so that uncontrollable factors in vision can be effectively reduced and the experiment quality can be improved when the experiment is carried out on the tested object.

This invention discloses a passive running device for a mouse with its head fixed, comprising a base plate, a support assembly, a head fixation component, and a running mechanism. The support assembly is disposed on the base plate. The head fixation component is used to fix the head of the mouse and is detachably connected to the support assembly. The running mechanism is disposed on the base plate and includes a driver and a running belt assembly. The head fixation component is located above the running belt assembly to restrain the mouse on the running belt assembly. The driver is driven by the running belt assembly to drive the running belt assembly, enabling the mouse on the running belt assembly to passively perform running movements. This invention, by fixing the head of the mouse and utilizing the movement of the running belt assembly to passively induce running movements, can assist in observing the two-photon neuronal electrical signals of the mouse during running using a two-photon microscopy system, and observe the cerebellar neuronal firing patterns during movement, thus contributing to neuroscience research.