In this study, we developed a new model of neuronal cells plating into a developed neural network to study functional integration using microfluidic methods. The integration was modeled in a three-chamber microfluidic...
In this study, we developed a new model of neuronal cells plating into a developed neural network to study functional integration using microfluidic methods. The integration was modeled in a three-chamber microfluidic chip by growing two weakly coupled neuronal networks and enhancing its connectivity by plating new dissociated cells. The direction of connections was formed by the asymmetric design of the chip. Such technology can be used to develop a new type of scaffold to recover the modular structure of the network.
The paper deals with enhanced stiffness analysis of the NaVaRo robot, a three-degree-of-freedom planar parallel manipulator with variable actuation schemes that are switched from one to another in order to avoid kinem...
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ISBN:
(纸本)9781538649398
The paper deals with enhanced stiffness analysis of the NaVaRo robot, a three-degree-of-freedom planar parallel manipulator with variable actuation schemes that are switched from one to another in order to avoid kinematic singularities. The main scientific contribution is in the area of extension of classical MSA technique for the case of complex open-loop and closed-loop manipulators. The proposed approach produces the Cartesian stiffness matrices and presents the manipulator stiffness model as a set of conventional equations describing the link elasticities that are supplemented by a set of constraints describing connections between links. The main advantage is computational simplicity that straightforwardly aggregates the stiffness model equations avoiding traditional column/row merging procedures of the conventional MSA. The efficiency of this approach is illustrated by comparison analysis of NaVaRo manipulator for different actuation modes.
We present a novel integration technology for replacing damaged microcircuits in the rat brain with electronic neuronal networks. This technology will allow simulating important brain functions, such as memory, throug...
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ISBN:
(数字)9781728172866
ISBN:
(纸本)9781728172873
We present a novel integration technology for replacing damaged microcircuits in the rat brain with electronic neuronal networks. This technology will allow simulating important brain functions, such as memory, through the adaptive stimulating effects of neural interfaces at cellular and neuronal network levels. The proposed system includes electronic devices to register and process neuronal signals and to adaptively stimulate damaged brain areas according to the online algorithm decoding the registered neuronal activity. The stimulation algorithm is implemented in hardware neural network with memristive connections that allows both network learning and adaptive *** basic idea is to develop components of hardware neural network with memristive connections for adaptive generation of electrical signals to stimulate particular brain areas. Moreover, the uniqueness of the system is adaptive closed-loop connection between two hippocampal neuronal networks. Such a system is very promising for restoring functionality of damaged areas in the human brain to replace lost functions in patients with brain pathologies or trauma.
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