59 results about "Synaptic plasticity" patented technology

The invention relates to the technical field of working face mine pressure multi-parameter intelligent monitoring and early warning systems, and particularly discloses a working face mine pressure multi-parameter intelligent monitoring and early warning system. The system comprises a multi-source sensing data acquisition device, a pulse sequence coding unit, a bionic pulse neural network early warning model, a dynamic attention regulation and control module and an early warning information output terminal, multi-source heterogeneous data such as hydraulic support resistance, micro-seismic energy and acoustic emission frequency are converted into a pulse event sequence similar to a biological neural signal, a rock stratum instability precursor is identified by using a bionic model simulating a neuron discharge mechanism and synaptic plasticity, key signals are self-adaptively strengthened in combination with a dynamic attention mechanism, and noise is suppressed. According to the technical scheme, multi-parameter coupling characteristics can be captured with high sensitivity, the early warning accuracy and advance are improved, the false alarm rate is reduced, and reliable guarantee is provided for deep coal mine safety.

The present application relates to a nutritional composition, a product comprising the same and use thereof in the preparation of a product for alleviating synaptic plasticity impairment of a body. The nutritional composition comprises: docosahexaenoic acid (DHA) and / or a metabolic precursor thereof, sodium hyaluronate (SH), and lactoferrin (LF). When docosahexaenoic acid (DHA), sodium hyaluronate (SH) and lactoferrin (LF) are used in combination, they can synergistically alleviate synaptic plasticity impairment of a body, in particular, increase nerve growth factor (NGF) content and / or brain-derived neurotrophic factor (BDNF) content in PC12 cells of the body, and / or increase expression of synaptic-related proteins in PC12 cells of the body.

This invention relates to the fields of semiconductor information storage and artificial synaptic devices, specifically to a biological synaptic intrinsically self-assembled topological phase-change memristor and its fabrication method. The fabrication method includes: providing a substrate; depositing a bottom electrode; and depositing SrFeO on the bottom electrode. x The thin film serves as the storage medium layer; the storage medium layer undergoes heat treatment, including in-situ annealing and post-annealing. By controlling the oxygen pressure difference between in-situ and post-annealing, the single-component SrFeO is made more efficient. x An intrinsically self-assembled superlattice structure, characterized by alternating vertical and horizontal orientation regions of oxygen vacancy channels, spontaneously forms within the thin film. This structure restricts the formation sites of conductive filaments, significantly improving the consistency and stability of the device's resistive switching cycle. The process of this invention is simple, requiring no introduction of a second-phase material. The resulting memristor requires no electrical formation, exhibits a high on / off ratio, multi-level storage, and short-term synaptic plasticity, making it applicable to neuromorphic computing chips and artificial intelligence devices.

The invention discloses an application of a pyruvate dehydrogenase kinase (PDKS) inhibitor in preparation of a composition for treating Alzheimer's disease (AD), and particularly discloses an application of the PDKs inhibitor in preparation of the composition for treating the AD. According to the invention, the level of oxidative phosphorylation (OXPHOS) of microglial cells is obviously enhanced, the inflammatory response of the microglial cells is effectively reduced, the migration and aggregation capabilities of the microglial cells are obviously improved, the capability of the microglial cells to phagocytize and degrade extracellular beta-amyloid protein (A beta) plaque is obviously enhanced, the cognitive function defect of AD model mice is effectively improved, and the application of the microglial cells in the treatment of the AD model mice is promoted. The preparation is simple, and the application is wide.

The application discloses a kind of artificial synapse devices with color / electric dual weight regulation.The composition of the device includes: the surface edge of substrate, source electrode and drain electrode are respectively distributed with interval, and the surface of substrate between source electrode and drain electrode is covered with nanowire film;Nafion film and ion glue are sequentially covered on nanowire film.The device obtained by the application can realize the dual regulation of color weight and conductance weight under electric stimulation, and make the two weights have extremely short synaptic plasticity, and after removing stimulation for only 1 second, excitatory chroma is completely reduced to 0, and residual excitatory post-synaptic current is reduced to 1 / 3000 of initial value.

This invention discloses a method for screening or assessing the risk of GLP-1 receptor agonist-related mood disorders. It reveals for the first time that TTR is a key molecular switch for the bidirectional mood effects of GLP-1 receptor agonists, and its expression level needs to be maintained within a specific physiological window to ensure mood homeostasis. This invention assesses the risk of developing mood disorders after using GLP-1 receptor agonists by detecting the expression level or activity of TTR in subjects. This invention also provides kits for assessing the mood side effects of GLP-1 receptor agonists, methods for screening candidate drugs for the prevention or treatment of related mood disorders, and pharmaceutical compositions containing TTR or its agonists. This invention elucidates the molecular mechanism by which GLP-1 receptor agonists inhibit TTR expression through the cAMP / PKA / Gli3 signaling pathway, thereby affecting the ERK / CREB pathway and synaptic plasticity, providing novel targets and strategies for precise drug use, risk warning, and intervention for related mood disorders using GLP-1 receptor agonists.

The present invention relates to polymorphs of a nitrogen-containing heterocyclic compound. The polymorphs of the present invention can effectively enhance or reactivate synaptic plasticity, and inhibit or eliminate the accumulation of beta-amyloid, without causing side effects, thereby exerting a therapeutic effect on various nervous system diseases or neurodegenerative diseases. In addition, the polymorphs of the present invention exhibit excellent physicochemical properties, such as stability, solubility, hygroscopicity, and mechanical strength, and show excellent permeability to the blood-brain barrier (BBB).

The invention discloses application of a Kunlun chrysanthemum aqueous extract in preparation of drugs for improving autism core symptoms, and belongs to the technical field of biological medicines. In order to solve the problem that the prior art lacks a medicine which is small in side effect, natural in source and capable of improving the autism core symptom, the invention provides application of a coreopsis tinctoria aqueous extract in preparation of the medicine for improving the autism core symptom, and the coreopsis tinctoria aqueous extract has a multi-dimensional synergistic effect of adjusting synaptic plasticity, inhibiting neuroinflammation, improving behavioral phenotype and the like. The concept of treating complex nervous system diseases by traditional Chinese medicine is met, and the autism core symptom is fundamentally improved; the medicine containing the coreopsis tinctoria aqueous extract provided by the invention has the advantages of high safety and small side effect.

The application discloses an IGFBP-2 derived polypeptide and application thereof in preparation of an antidepressant, and relates to the technical field of biological medicines. The amino acid sequence of the polypeptide is Pro-Lys-Lys-Leu-Arg-Pro, the N terminal of which is acetylated and the C terminal of which is amidated, and the amino acid sequence is shown as SEQ ID NO:1. The polypeptide has a small molecular weight, can easily penetrate the blood-brain barrier, and has good stability after terminal modification. Animal experiments prove that the polypeptide can significantly improve the depressive behavior of Shank3 gene knockout mice, including improving the spatial cognitive ability, enhancing the social interaction and curiosity, and relieving the anxiety behavior. Cell experiments prove that the polypeptide can significantly improve the viability of hippocampal neuron cells from Shank3 gene knockout mice, and up-regulate the expression level of synaptic plasticity related proteins GluA1 and SYN1. The polypeptide can be prepared by a chemical synthesis method, has low cost, and can be used for preparing a medicine for preventing or treating depression (especially depression related to Shank3 gene mutation).

The application provides application of a GPR65 agonist in preparation of a medicine for preventing and / or treating Alzheimer's disease, and belongs to the technical field of biological medicine.The application researches and finds that the GPR65 agonist improves the cognitive function of an AD mouse model, reduces neural inflammation and pathological characteristics, and enhances synaptic plasticity.The application provides a molecular target and an intervention window for a treatment strategy in AD research, and provides important theoretical basis and experimental support for subsequent drug development and translational medicine research.

The application discloses a kind of non-volatile non-monotonic neuron device and preparation method thereof, it is related to neuron device technical field, including substrate, floating gate structure is set on substrate, two-dimensional material heterojunction is set on the side of floating gate structure away from substrate, two-dimensional material heterojunction is composed of semiconductor channel layer and bridge layer, bridge layer is used to form heterojunction section and realize the transport of carrier, electrode structure includes top electrode and bottom electrode, top electrode is set on the side of floating gate structure away from substrate and is electrically connected with two-dimensional material heterojunction, bottom electrode is set on the side of substrate away from floating gate structure.The application can produce clock-shaped response curve that is most intense to medium-intensity input similar to neuron pair reaction by combining p-type two-dimensional semiconductor and n-type two-dimensional semiconductor with bridge layer, while integrated floating gate structure endows the device with non-volatility, so that it can simulate long-term memory and synaptic plasticity of biological neuron.

The application relates to an artificial visual nervous system based on a bimodal neural device, comprising a bimodal visual information calculation array composed of a physical convolution kernel array and a synapse calculation array, the physical convolution kernel array is used for receiving an ambient light signal and converting into an electrical signal output, the synapse calculation array is used for receiving the electrical signal and converting into a visual signal, and the physical convolution kernel array and the synapse calculation array are both composed of a plurality of bimodal transistors. The application has excellent bimodal collaborative calculation capability, the receptive field mechanism (excitatory / inhibitory response) of a retinal bipolar cell is simulated through the physical convolution kernel array, image feature extraction and preprocessing are realized, the synaptic plasticity (LTP / LTD mechanism) of a central nervous system is simulated in combination with the synapse calculation array, high-level calculation of the visual signal is completed, and a complete visual nerve bionic system is formed by virtue of an array composed of single devices.

The invention belongs to the technical field of photoelectric detection, and particularly relates to a near-infrared photoelectric synapse device and a preparation method thereof. The near-infrared photoelectric synapse device comprises a conductive substrate, a transition metal sulfide layer, a perovskite active layer and an electrode layer which are stacked from bottom to top, wherein when the thickness of the transition metal sulfide layer is gradually increased within a preset thickness range, a high-density interface capture state is formed between the transition metal sulfide layer and the perovskite active layer, so that the double-pulse facilitation index of the near-infrared photoelectric synapse device is gradually increased under the stimulation of near-infrared pulses; therefore, photoelectric response and short-time synaptic plasticity are realized in a near-infrared band. The photoelectric synaptic device designed in the scheme can sense infrared signals, the working wave band range of the device is widened, and meanwhile, the photoelectric synaptic device has a high double-pulse simplification index, namely, the device can show a low-energy-consumption strong synaptic behavior in a near-infrared wave band, so that the photoelectric synaptic device can be used for constructing a brain-like vision and neuromorphic computing system.

The application discloses a kind of all ferroelectric neural-paradigm units and preparation methods thereof.A kind of all ferroelectric neural-paradigm unit, the all ferroelectric neural-paradigm unit structure includes the upper electrode array, ferroelectric layer and lower electrode array sequentially arranged from top to bottom;The single electrode shape of the upper electrode array and the lower electrode array is rectangle, the width of single electrode is 1nm~10 μm respectively, the spacing between adjacent electrodes is 10nm~50 μm;The width ratio of the single electrode of the upper electrode array and the single electrode of the lower electrode array is 0.001~1000;The upper electrode array and the lower electrode array electrode staggered arrangement, the angle range of staggered angle is 0~180°.The application can efficiently simulate neuron firing, synaptic plasticity and other behaviors by fine changing electric field loading conditions to regulate polarization, shielding, space charge dynamics in ferroelectric functional layer, can also realize the simulation of neuron and synapse simultaneously, to build all ferroelectric brain network.

The invention relates to the technical field of artificial synapses, in particular to a composite artificial synapse which comprises a core functional layer, the core functional layer is a composite material layer, and the composite material layer is formed by mixing a SrAl2O4-based long afterglow material and a NaYF4-based up-conversion material; eu < 2 + > and Dy < 3 + > are doped in the SrAl2O4-based long afterglow material; yb < 3 + > and Tm < 3 + > are doped in the NaYF4-based up-conversion material; under excitation of near-infrared light, the NaYF4-based up-conversion material transmits energy to the SrAl2O4-based long-afterglow material through up-conversion luminescence, so that the SrAl2O4-based long-afterglow material generates long-afterglow luminescence, and a synaptic function is realized; through thermal stimulation, the release process of defect trap electrons in the SrAl2O4-based long afterglow material is regulated and controlled, and thermally induced synaptic plasticity is realized. According to the invention, SrAl2O4: Eu < 2 + >, Dy < 3 + > and NaYF4: Yb < 3 + >, Tm < 3 + > are coupled, so that long afterglow luminescence (LPL) of near-infrared triggering and thermal regulation is realized, and information encryption, handwritten number recognition and mechanical arm gesture control are realized by artificial synapses based on photo-thermal synergistic stimulation.

The invention discloses a dynamic unmanned aerial vehicle track optimization method based on a brain-like prediction strategy, and the method achieves the high-precision modeling and dynamic perception of a complex flight environment through the fusion of a laser radar, a visual sensor and a geographic information database. A multi-target path optimization model oriented to cluster cooperation is constructed, and an MP-DMOEA / D algorithm based on environmental modulation synaptic plasticity is introduced. When environment change is detected, the system calls a multi-prediction mechanism of fusion transfer learning, adaptive regression and reinforcement learning to generate a high-quality initial solution, and rapid replanning and stable convergence are realized. The prediction strategy weight is adjusted through synaptic plasticity, and the algorithm can adaptively adjust the optimization direction according to the environmental fluctuation intensity. The method has the advantages of being high in real-time performance, high in adaptability, good in engineering implementability and the like, and is suitable for unmanned aerial vehicle cluster collaborative flight path planning tasks in a dynamic complex environment.

The invention provides application of GluN2B protein in detection of neuronal synaptic plasticity injury caused by terahertz waves. The GluN2B protein has sensitivity to terahertz wave radiation, expression of the GluN2B protein is reduced under the action of terahertz waves, and synaptic plasticity of neurons is damaged. Therefore, by detecting the expression quantity change of the GluN2B protein in the neurons under the action of the terahertz waves, whether the neuronal synaptic plasticity change can be caused by the action of the terahertz waves or not can be effectively determined.

The invention discloses a vertical heterojunction photoelectric synapse transistor and preparation and application thereof. The device sequentially comprises a back gate substrate (gate / gate medium), a single-layer graphene bottom electrode, a p-type rube layer, an n-type F16-CuPc layer and a top electrode from bottom to top, and rubree / F16-CuPc forms an II-type heterojunction, and short-channel vertical transmission is formed, so that photo-generated excitons are efficiently dissociated on an interface and vertically collect current. According to the device, 365-780nm wide spectrum detection and optical / electric driving synaptic plasticity (including paired pulse promotion and time width / frequency / pulse number dependence) are realized in a single structure, and retina-like denoising and contrast enhancement are realized based on time domain selectivity retention. The invention has the advantages of wide process window, easy array, low dark current, low energy consumption and good stability, and is suitable for wearable vision, weak light imaging and edge cognition processing.

The application discloses application of propofol in preparation of a medicine for preventing or treating cognitive dysfunction, and realizes prevention or treatment of cognitive dysfunction by propofol through inhibition of nerve inflammation, reduction of oxidative stress and enhancement of synaptic plasticity, and has advantages of exact curative effect, small side effect, multi-target point intervention and controllable cost, overcomes defects of existing medicines, such as curative effect limitation, obvious side effect and single target point, and realizes timely prevention and treatment of senile cognitive dysfunction.

The present application belongs to the field of food, and particularly relates to a use of a nutritional composition. The present application provides a non-therapeutic use of a nutritional composition in the preparation of a food for assisting in improving memory, the nutritional composition comprising necessary active ingredients as raw materials shown in (I) and (II) as follows: (I) a vitamin D component, (II) lutein, the mass ratio of the total necessary active ingredients shown in (I) to the total necessary active ingredients shown in (II) being 1:(2-110), and the combination of the vitamin D and the lutein in a certain proportion can effectively slow down synaptic plasticity damage, and the two have a synergistic effect.

The invention discloses a nonvolatile non-monotonic nerve component and a preparation method thereof, and relates to the technical field of nerve components, the nonvolatile non-monotonic nerve component comprises a substrate, a floating gate structure arranged on the substrate, and a two-dimensional material heterojunction arranged on one side, deviating from the substrate, of the floating gate structure, the two-dimensional material heterojunction is composed of a semiconductor channel layer and a bridging layer, the bridging layer is used for forming a heterojunction cross section and realizing carrier transmission, the electrode structure comprises a top electrode and a bottom electrode, the top electrode is arranged on one side, deviating from the substrate, of the floating gate structure and is electrically connected with the two-dimensional material heterojunction, and the bottom electrode is arranged on one side, deviating from the floating gate structure, of the substrate. By combining the p-type two-dimensional semiconductor and the n-type two-dimensional semiconductor with the bridging layer, a bell-shaped response curve similar to the strongest reaction of neurons to medium-intensity input can be generated, and meanwhile, the integrated floating gate structure endows the device with non-volatility, so that the device can simulate long-term memory and synaptic plasticity of biological neurons.

Changes in Reelin levels as well as Reelin signaling alter cognitive function. This can be accomplished by administering a therapeutically effective amount of a repeat fragment of Reelin, or a construct formed from fragment repeats of Reelin to a patient or subject. Changes to Reelin levels can be used to treat various neurodegenerative diseases, neuronal insults, or stroke, such as fragile X syndrome, William's syndrome, Rett syndrome, Down's syndrome, Angelman syndrome, autism, ischemia, hypoxia, Alzheimer's disease, and schizophrenia: Reelin can also be used to alter dendritic spine density, diminished long-term potentiation, and diminished synaptic plasticity and associative learning deficits. Constructs formed from repeat region 3 of full length Reelin and repeat region 5 of full length Reeling or repeat region 3 of full length Reelin and repeat region 6 of full length Reelin have been found particularly useful.

The invention discloses a novel active peptide composition for improving concentration and application thereof. Belongs to the technical field of novel active peptides. In the brain peptide research process, various new active peptides are extracted and prepared by taking pig brain as a raw material, and the research on related functions finds that the new active peptide PAVP has the effect of improving concentration; in addition, when the new active peptide PAVP and the VVAVPGN obtained through separation are mixed according to the mass ratio of 1: 1-1: 5, compared with the condition that the new active peptide PAVP and the VVAVPGN act independently, the exploration time of CUMS model mice on new things can be remarkably prolonged, and a synergistic interaction effect is achieved; when the two components cooperate with each other, the two components also have a synergistic effect on improving the expression quantity of PSD-95 and BDNF, which indicates that when the two components are combined, the capability of repairing synaptic plasticity injury of mice due to model construction can be remarkably improved, and the synaptic function is enhanced, which is a core molecular mechanism for improving concentration.

The present application relates to the technical field of working face mine pressure multi-parameter intelligent monitoring and early warning system, and specifically discloses a working face mine pressure multi-parameter intelligent monitoring and early warning system. The system comprises a multi-source sensing data acquisition device, a pulse sequence coding unit, a bionic pulse neural network early warning model, a dynamic attention regulation module and an early warning information output terminal. The multi-source heterogeneous data such as hydraulic support resistance, microseismic energy and acoustic emission frequency are converted into pulse event sequences of biological neural signals, and the bionic model of simulated neuron discharge mechanism and synaptic plasticity is used to identify rock mass instability precursors. In combination with the dynamic attention mechanism, the key signals are adaptively strengthened and the noise is suppressed. The present application can capture multi-parameter coupling characteristics with high sensitivity, improve the early warning accuracy and advance, reduce the false alarm rate, and provide reliable protection for deep coal mine safety.

The application discloses a kind of synaptic weight flexible generation large-scale brain simulation method and system, comprising: according to the input brain simulation network information, create neuron cluster;Determine the generation mode of synaptic weight, generation mode is generated in advance and / or on-demand generation;Create the connection between neuron cluster, if generation mode is generated in advance, save the delay of synaptic connection and synaptic weight, if generation mode is on-demand generation, save the delay of synaptic connection;Run brain simulation network simulation, in simulation process, if generation mode is generated in advance, directly read the synaptic weight saved, if generation mode is on-demand generation, randomly generate synaptic weight.The application simultaneously supports synaptic weight generation in advance and on-demand generation, retains the integrity of brain simulation network synaptic plasticity function.

The application belongs to the technical field of neuromorphic computing hardware, and particularly relates to a neuromorphic cell circuit based on a two-dimensional material ferroelectric floating gate transistor and a preparation method thereof. The neuromorphic cell circuit adopts a synapse and neuron nested topological structure, that is, one ferroelectric floating gate transistor is used as an electronic synapse, and a threshold switch memristor and a capacitor are used to cooperatively constitute a biological neuron function module. The application utilizes polarization reversal of a ferroelectric insulating layer and a floating gate mechanism to realize dynamic nonvolatile adjustment of a two-dimensional semiconductor channel conductance; in combination with a volatile threshold switch characteristic of a memristor and a charging and discharging mechanism of a capacitor, the synapse plasticity and action potential leakage integral-discharge behavior of a biological nervous system are perfectly simulated. The application can realize extremely high device consistency and yield; the circuit has sub-nanowatt ultra-low power consumption and high-density integration potential, and provides a device-level solution for the next generation of underlying neuromorphic hardware.

According to the method, initialization of the pulse neural network is meta-learned by introducing an excitation-suppression balance mechanism constrained by the Deler law, and internal representation widely applicable to many small sample tasks is constructed. In order to ensure that the Thevener's law is strictly obeyed in the synaptic weight updating process, an improved projection gradient descent method is combined with synaptic plasticity, so that the nervous excitability and inhibition characteristics are kept unchanged. According to the invention, an excitation-suppression balance mechanism constrained by the Devener's law is introduced into pulse element learning, and a small sample pulse element learning method based on excitation-suppression balance under the constraint of the Devener's law is provided. In order to enhance the stability and generalization of pulse element learning, a multi-step weighted loss strategy is further developed to guide the element learning of the pulse neural network. The small sample pulse element learning method based on excitation-suppression balance under the constraint of the Devener's law is superior to an early element learning method based on an artificial neural network in some specific tasks, and is completely superior to MAML of a pulse version.

The invention discloses an AI regulation and control high-frequency artificial nerve device based on homogeneous integrated OECT. The AI regulation and control high-frequency artificial nerve device comprises a receptor module, a neuron module and a synaptic module which are integrated on the same flexible polyimide substrate. The receptor module is used for collecting and converting optical, electric and chemical signals; the neuron module is used for signal amplification and logic processing; the synaptic module is used for signal storage and synaptic plasticity simulation. Core devices adopted by the three modules are OECTs manufactured through the same manufacturing method, a vertical stacking framework is adopted in the manufacturing process, a polymer semiconductor electron transport layer-gradient ion conductor transport layer bicontinuous network is constructed, and transmission efficiency matching is achieved through path separation and collaborative optimization. According to the artificial nerve device, high-sensitivity response of multi-mode signals is achieved, the sensing-processing-memorizing integrated function is completed, and the requirements of medical scenes such as neural restoration for biocompatibility and long-term working stability are met.

This invention relates to the field of plant-derived extracellular vesicles, and discloses a method for preparing and applying Hypericum perforatum-derived exosome-like nanovesicles (HPDENs). This invention prepares HPDENs with natural vesicle structures through a specific process, utilizing the natural characteristics of plant-derived vesicles to encapsulate Hypericum perforatum (…). HP The active ingredient, combined with nasal drops, achieves targeted delivery to the brain. It exerts its antidepressant effect by regulating microglia polarization imbalance and reshaping the "neuroimmune-synaptic" axis. This solves the core problems of traditional antidepressants, such as slow onset of action, poor treatment response, and large side effects. It can also improve the core pathological features of depression (neuritis, synaptic plasticity damage) and improve depressive-like behaviors, providing a brand-new option for the clinical treatment of depression.

This invention discloses an on-orbit intelligent processing method for spaceborne images based on brain-like computing, belonging to the field of on-orbit intelligent processing of spaceborne images. This invention utilizes a spiking neural network to simulate the structure of the human brain: including a feature extraction layer, a pulse coding layer, an STDP learning layer, a lateral inhibition layer, and a decision output layer; and improves model accuracy through on-orbit updates and federated learning. This invention reduces computational energy consumption and improves efficiency. Simultaneously, this invention leverages the synaptic plasticity of neurons to construct a SNN with excellent spatial and temporal resolution.