32 results about "Neuronal Transmission" patented technology

Preferred embodiments of the present invention are directed to systems for phase measurement which address the problem of phase noise using combinations of a number of strategies including, but not limited to, common-path interferometry, phase referencing, active stabilization and differential measurement. Embodiment are directed to optical devices for imaging small biological objects with light. These embodiments can be applied to the fields of, for example, cellular physiology and neuroscience. These preferred embodiments are based on principles of phase measurements and imaging technologies. The scientific motivation for using phase measurements and imaging technologies is derived from, for example, cellular biology at the sub-micron level which can include, without limitation, imaging origins of dysplasia, cellular communication, neuronal transmission and implementation of the genetic code. The structure and dynamics of sub-cellular constituents cannot be currently studied in their native state using the existing methods and technologies including, for example, x-ray and neutron scattering. In contrast, light based techniques with nanometer resolution enable the cellular machinery to be studied in its native state. Thus, preferred embodiments of the present invention include systems based on principles of interferometry and / or phase measurements and are used to study cellular physiology. These systems include principles of low coherence interferometry (LCI) using optical interferometers to measure phase, or light scattering spectroscopy (LSS) wherein interference within the cellular components themselves is used, or in the alternative the principles of LCI and LSS can be combined to result in systems of the present invention.

Preferred embodiments of the present invention are directed to systems for phase measurement which address the problem of phase noise using combinations of a number of strategies including, but not limited to, common-path interferometry, phase referencing, active stabilization and differential measurement. Embodiment are directed to optical devices for imaging small biological objects with light. These embodiments can be applied to the fields of, for example, cellular physiology and neuroscience. These preferred embodiments are based on principles of phase measurements and imaging technologies. The scientific motivation for using phase measurements and imaging technologies is derived from, for example, cellular biology at the sub-micron level which can include, without limitation, imaging origins of dysplasia, cellular communication, neuronal transmission and implementation of the genetic code. The structure and dynamics of sub-cellular constituents cannot be currently studied in their native state using the existing methods and technologies including, for example, x-ray and neutron scattering. In contrast, light based techniques with nanometer resolution enable the cellular machinery to be studied in its native state. Thus, preferred embodiments of the present invention include systems based on principles of interferometry and / or phase measurements and are used to study cellular physiology. These systems include principles of low coherence interferometry (LCI) using optical interferometers to measure phase, or light scattering spectroscopy (LSS) wherein interference within the cellular components themselves is used, or in the alternative the principles of LCI and LSS can be combined to result in systems of the present invention.

Pharmaceutical compositions comprising tricyclic 3,4-propinoperhydropurines and uses thereof for blocking neuronal transmission which are useful in treating anal fissure and other wounds and muscle disorders are provided. Also provided are methods of treating wounds and muscle disorders by administering the composition of the invention to a muscle or in the vicinity of a muscle either topically or by injection.

Tension-type headache is treated by interacting with neuronal transmission in relation to pain in connection with headache in a way which prevents or decreases sensitization of second order nociceptive neurons. In particular, treatment is performed by administration of an effective amount of a substance which prevents or decreases central sensitization. Important examples of such substances are substances which interact with nitric oxide, such as nitric oxide synthase (NOS) inhibitors, such as L-NMMA or L-NAME or L-NIO or L-NNA. According to a broader aspect of the invention tension-type headache is treated by administration of substances which are effective in preventing or decreasing pain in connection with tension-type headache, such as the substances mentioned above. Accordingly, the invention relates to treatment of tension-type headache by administration of substances which substantially inhibit the activity of nitric oxide synthase (NOS), such as NOS inhibitors, such as L-NMMA or L-NAME or L-NIO or L-NNA.

The invention discloses a neural network unit circuit based on a memristor bridge synapse, and the neural network unit circuit comprises a memristor weight circuit which is used for weighting a voltage signal transmitted by an upper-level neuron and transmitting the voltage signal downwards; a differential amplification circuit which is used for converting the voltage signal transmitted by the synapse into a current signal; and a current mirror circuit which is used for adding and summarizing the current signals transmitted by the synapses and transmitting the current signals to the next stageof neurons. The invention aims to solve the problems that a transistor-based hardware neural network is high in power consumption and large in size, and a neural network circuit based on a memristorarray is low in fault tolerance is solved. The memristor bridge composed of five memristors is used for simulating synapses in neurons, the differential amplification circuit is used for simulating axons of the neurons, the current mirror circuit is used for simulating dendrites of the neurons, the three parts play a role in signal weighting, voltage-current conversion, current accumulation and cascade voltage output respectively, and a neural network unit circuit is completely achieved.

Preferred embodiments of the present invention are directed to systems for phase measurement which address the problem of phase noise using combinations of a number of strategies including, but not limited to, common-path interferometry, phase referencing, active stabilization and differential measurement. Embodiment are directed to optical devices for imaging small biological objects with light.These embodiments can be applied to the fields of, for example, cellular physiology and neuroscience. These preferred embodiments are based on principles of phase measurements and imaging technologies. The scientific motivation for using phase measurements and imaging technologies is derived from, for example, cellular biology at the sub-micron level which can include, without limitation, imagingorigins of dysplasia, cellular communication, neuronal transmission and implementation of the genetic code. The structure and dynamics of sub-cellular constituents cannot be currently studied in theirnative state using the existing methods and technologies including, for example, x-ray and neutron scattering. In contrast, light based techniques with nanometer resolution enable the cellular machinery to be studied in its native state. Thus, preferred embodiments of the present invention include systems based on principles of interferometry and / or phase measurements and are used to study cellular physiology. These systems include principles of low coherence interferometry (LCI) using optical interferometers to measure phase, or light scattering spectroscopy (LSS) wherein interference withinthe cellular components themselves is used, or in the alternative the principles of LCI and LSS can be combined to result in systems of the present invention.

The invention belongs to the technical field of rail traffic control operation and maintenance, and provides a method for predicting and evaluating the service life of a railway signal computer interlocking system based on a neural network. The method comprises the following steps: first, designing life prediction neural network structure models for double-machine hot standby and double 2-vote-2 computer interlocking systems respectively; then, improving the accuracy of prediction by controlling the neuron transfer function and output function of a life prediction neural network and optimizingthe center neuron width; and finally, constraining the format of the input vector of the life prediction neural network based on operation equipment fault data, and predicting and evaluating the service life of the interlocking systems. The results of example verification show that compared with other methods, the method of the invention is more in line with the actual operation of the interlocking systems, has high prediction accuracy and can effectively support the operation safety of the systems and improve the rate of return on investment of interlocking equipment.

High frequency repetitive magnetic pulses may be used to treat pain in the foot of a person by relaxing the muscle and reducing communication of pain signals by neurons in the treatment region. A device is disclosed, which is floor mounted and incorporates a cooling mechanism and heat sink to allow high frequency magnetic stimulation to the person's foot.

The invention is directed to a method of treating movement disorders by the modulation of neuronal transmission using time-variant non-conservative magnetic fields. The invention is also directed to a method for treating dystonias.

The present disclosure relates to dual-cell model and Caenorhabditis elegans model systems for measuring neuron-to-neuron transmission of protein aggregates, and more particularly to transgenic cell and animal model systems expressing fusion proteins of N-terminus or C-terminus of fluorescent proteins with α-synuclein proteins, methods for measuring continuous cell-to-cell transmission of α-synuclein aggregates using the same, and methods for screening substances for preventing or treating neurodegenerative diseases.

The invention discloses a self routing unit circuit and a control method thereof. The circuit of the present invention is suitable for a large-scale interconnected neural network system. The synaptic connection of a front neuron and three or more back neurons employ the self routing circuit unit. Three or more branches in parallel connection are provided, and each parallel branch is formed by one or more bipolar resistive memristors. Each branch has a different structure, with differences of the number of the resistive memristors, the connection directions of polarities and parallel and series connection modes, the self routing unit circuit corresponding to specific voltage is formed. According to the circuit of the invention, the circuit can automatically choose to transmit a signal to the back neurons, the circuit is simple, a structure is small and large-scale integration is facilitated; the circuit is a non volatile circuit, and once set, the circuit is not needed to be reset again when a condition is unchanged.

The invention belongs to the field of microelectronic technology, and discloses a two-dimensional material heterojunction memristor and a preparation method thereof. The memristor includes a substrate, a bottom electrode layer, and a two-dimensional material heterojunction layer from bottom to top And the top electrode layer, wherein, the two-dimensional material heterojunction layer is used as the intermediate dielectric layer, which is a two-layer laminated structure composed of two different metal sulfur compounds, and each layer in the laminated structure corresponds to one of the metal sulfur compounds. The present invention improves the key functional layer materials used in the device and the overall structure design of the device. Compared with the prior art, a new type of memristor is constructed entirely based on two-dimensional materials, which subverts the traditional MIM structure and has a lower The working voltage, fatigue resistance and cycle stability characteristics of the memristor; moreover, the memristor shows a high degree of similarity to the synapse transmission information in the simulated neuron transmission information, and has great application in the development of brain-like structures in the future prospect.

High frequency repetitive magnetic pulses may be used to treat pain in the foot of a person by relaxing the muscle and reducing communication of pain signals by neurons in the treatment region. A device is disclosed, which is floor mounted and incorporates a cooling mechanism and heat sink to allow high frequency magnetic stimulation to the person's foot.

The invention belongs to the technical field of rail traffic control operation and maintenance, and provides a method for predicting and evaluating the service life of a railway signal computer interlocking system based on a neural network. The present invention: first of all, aiming at the computer interlocking systems of the dual-computer hot standby type and the two-by-two-out type, respectively design a life prediction neural network structure model; secondly, by controlling the neuron transfer function and output of the life prediction neural network function, and the optimization of the width of the central neuron to improve the prediction accuracy; finally, based on the operating equipment failure data, the input vector format constraints of the life prediction neural network are performed to predict and evaluate the service life of the interlocking system. Through example verification, the results show that: compared with other methods, it is more in line with the actual operation of the interlocking system, with high prediction accuracy, which can effectively support the operation safety of the system and improve the return on investment of interlocking equipment.

Pharmaceutical compositions for interfering with neuronal transmission comprising an effective amount of at least one tricyclic 3,4-propinoperhydropurine are disclosed. Preparations for facial rejuvenation are provided that comprise an effective amount of the composition of the invention and a facial cream. Methods of interfering with neuronal transmission comprising topical application of an effective amount of the pharmaceutical compositions of the invention are provided. In another aspect of the invention, effective amounts of the pharmaceutical compositions and a transdermal therapeutic system are provided for transdermal administration of at least one tricyclic 3,4-propinoperhydropurine. The pharmaceutical composition contains at least one at least one tricyclic 3,4-propinoperhydropurine, and may be formulated for transdermal drug delivery. The transdermal drug delivery system may be a laminated composite comprising a backing layer, a drug reservoir, and a means for affixing the composite to the skin.

The invention proposes a method for realizing synapse with excitatory and inhibitory functions, which belongs to the technical field of synaptic hardware in neuromorphic computing. The method uses ferroelectric transistors FeFET and PMOS to form a synaptic circuit; FeFET realizes the plasticity and memory characteristics of synapse, the gate terminal of FeFET is used as a programming (or erasing) port, the source terminal is biased as a suppression voltage, and the drain terminal is connected to PMOS The drain terminal of the PMOS is used as the output terminal of the synaptic voltage; the source terminal of the PMOS is used as the pulse input terminal of the pre-neuron, and the gate terminal is biased at a fixed power supply voltage; The voltage produces either an excitatory or an inhibitory voltage output at the synapse. Compared with the traditional MOSFET-based implementation, the present invention can significantly reduce hardware overhead, has strong drive capability, and is beneficial to the hardware implementation of large-scale highly interconnected neural networks.

The invention discloses a target recognition method, device, system and computer-readable storage medium. The method includes the following steps: acquiring original pulse data, determining a pulse sampling window, inputting pulses in the pulse sampling window to a pulse neural network, and The pulses of the spiking neural network are mapped, and the pulses are sequentially transmitted along the excitation neurons of each layer other than the last layer of excitation neurons, the pulses are transmitted along the last layer of excitation neurons to the inference layer, and the pulses are transmitted along the last layer of reasoning neurons. The reasoning neurons of each layer are transmitted sequentially to determine the recognition result; the device includes a pulse acquisition module, a sampling window module, a pulse mapping module, a neuron excitation module, a neuron reasoning module and a recognition result determination module; the system includes the above-mentioned device; The invention can realize accurate recognition and fast recognition of the target to be recognized, and can be better applied to the target with high moving speed, and can give consideration to both recognition accuracy and calculation amount.

The invention discloses a multichannel neuron signal collection controlling and transmission device which comprises a preposed impedance conversion module, an analog amplification and analog-digital conversion plate, a data collection and processing module, a data transmission control module, a stimulation controller, a stimulation waveform generating module, a mobile power source, a network interface / optical fiber conversion module and an upper computer. Aiming at requirements of nerve electrophysiology on neutron information analysis, an FPGA (field programmable gate array)-based multichannel parallel collection device capable of performing synchronous stimulation is designed, the device is suitable for multichannel neutron signal extraction aiming at animals, and various programmable simulation waveforms are provided. The multichannel neuron signal collection controlling and transmission device is flexible to control and convenient to operate, parts of a control system can be simultaneously controlled to complete various nerve electrophysiological experiments to extract information that a user is interested in through an upper computer command packet, and the device is a novel reliable nerve electrophysiological experiment tool.