Abstract: An automatic insertion device and method of using the same is provided. A vibrator and an extender are connected to a penetrating member and are both in electrical communication with a controller. A detector identifies a subcutaneous target for insertion and the insertion angle, distance and trajectory for the penetrating member are calculated. The vibrator provides vibrations to the penetrating member and the extender advances the penetrating member for insertion. The vibrator and extender are in electrical communication with one another during the insertion process and adjustments to the insertion speed are made based on feedback of vibrational load encountered by the vibrator during insertion, and adjustments to the vibrations are made based on feedback of insertion load encountered by the extender during insertion. Iterative samples are taken to constantly adjust the operation of one motor based on the operations and feedback from the other motor.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: A special purpose processor (SPP) for implementing a synthetic neural model of the biological anatomy of the human brain to control a brain-based device (BBD) that is movable in a real-world environment, including neural processing units (NPUs), each having a programmed processor and a local memory that stores data records of neural elements, a system memory for storing data about all the NPUs, and a finite state machine and a system bus for transferring data between the NPUs and system memory.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A hybrid control system for a robot can include a neuronal control portion and a non-neuronal control portion.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) to model a large number of neural elements. The FPGAs or similar programmable device can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.

Abstract: The invention relates to a safety stirrup for use with horses which prevents a rider's foot from being caught in the stirrup in the event of inadvertent dismounting of the rider. The stirrup consists of a foot support pivotably held within a mounting member. The foot support can be released at an end from the mounting member and portions of the foot support are separable so that a trapped foot can be released.

Abstract: An apparatus and method for facilitating the respiration of a patient are disclosed which are particularly useful in treating mixed and obstructive sleep apnea and certain cardiovascular conditions, among others, by increasing nasal air pressure delivered to the patient's respiratory passages just prior to inhalation and by subsequently decreasing the pressure to ease exhalation effort. The preferred apparatus includes a patient-coupled gas delivery device for pressurizing the patient's nasal passages at a controllable pressure, and a controller coupled with the delivery device having a pressure transducer for monitoring the nasal pressure and a microcontroller for selectively controlling the nasal pressure. In operation, the controller determines a point in the patient breathing cycle just prior to inhalation and initiates an increase in nasal pressure at that point in order to stimulate normal inhalation, and subsequently lowers the nasal pressure to ease exhalation efforts.

Abstract: An apparatus and method for facilitating the respiration of a patient detects patient airway sounds and resolves these sounds into audio component bands whereupon an analysis is performed to produce a trend value. In response, a pressure action is determined using the trend value for controlling the pressure delivered to a patient for preventing the onset of obstructive apnea.