31 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.

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.

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 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.

Pharmaceutical compositions comprising tricyclic 3,4-propinoperhydropurines and uses thereof for blocking neuronal transmission are provided.

A neural network circuit is provided having a plurality of circuits capable of charge storage. Also provided is a plurality of circuits each coupled to at least one of the plurality of charge storage circuits and constructed to generate an output in accordance with a neuron transfer function. Each of a plurality of circuits is coupled to one of the plurality of neuron transfer function circuits and constructed to generate a derivative of the output. A weight update circuit updates the charge storage circuits based upon output from the plurality of transfer function circuits and output from the plurality of derivative circuits. In preferred embodiments, separate training and validation networks share the same set of charge storage circuits and may operate concurrently. The validation network has a separate transfer function circuits each being coupled to the charge storage circuits so as to replicate the training network's coupling of the plurality of charge storage to the plurality of transfer function circuits. The plurality of transfer function circuits may be constructed each having a transconductance amplifier providing differential currents combined to provide an output in accordance with a transfer function. The derivative circuits may have a circuit constructed to generate a biased differential currents combined so as to provide the derivative of the transfer function.

A network of coupled neurons for implementing Non-Lipschitz dynamics for modeling nonlinear processes or conditions comprising: a plurality of neurons, each being configurable in attractor and repulsion modes of operation, and programmable by an external signal; a plurality of synaptic connections for connecting at least a portion of the plurality of neurons for passage of data from one neuron to another; feedback circuitry for incrementing and decrementing an analog voltage output depending upon the output of the synaptic connection; whereby by the circuit solves Non-Lipschitz problems by programmably controlling the attractor and repulsion modes. A method of programming a network for solving Non-Lipschitz problems comprising providing a plurality of neurons, each programmable into a plurality of modes including repulsion and attraction modes; interconnecting the plurality of neurons using synaptic connections; providing feedback to at least one of the neurons; whereby by programming the neurons Non-Lipschitz terminal dynamics can be achieved.

The invention discloses a target recognition method, device and system and a computer readable storage medium. The method comprises the following steps: obtaining raw pulse data, determining a pulse sampling window, and inputting pulses in the pulse sampling window into a pulse neural network, mapping the pulse input to the pulse neural network, sequentially transmitting the pulse along each layerof excitation neurons except the last layer of excitation neurons, transmitting the pulse to an inference layer along the last layer of excitation neurons, sequentially transmitting the pulse along each layer of inference neurons except the last layer of inference neurons, and determining an identification result; the device comprises a pulse acquisition module, a sampling window module, a pulsemapping module, a neuron excitation module, a neuron reasoning module and an identification result determination module. The system comprises the device. The method can achieve the accurate and quickrecognition of a to-be-recognized target, can be better suitable for a target with a higher movement speed, and can give consideration to the recognition accuracy and calculation amount.

A device for neuronal therapies comprising a high frequency and/or very high frequency generator (1) functioning by means of coils (11), and associated with two main electrodes (2), which are respectively configured by a core (21) of insulating material with the front end (22) in point form and surrounded by a flexible insulating tubular body (23) extended on the point end (22) of the electrode for separate and safe positioning thereof with respect to the eyes of the patient on which said electrodes (2) are placed in a use operation, in order to cause stimulation of the nervous system and improvement of neuronal transmission by means of the circulation of high frequency currents. Both electrodes (2) are associated with at least one element for support (3) and positioning over the eyes of the patient, based on an element for fastening (4) to the head or a cabin (6).

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.