Abstract: Computational models and methods and systems of using the model to estimate variable time delay in the sensorimotor system of a subject are provided. The computational model can estimate variable time delays in the sensorimotor system, predict sensory states based on delayed sensory feedback, and/or control the system in real time. The subject can be a human or a primate. Simulation experiments can show how the model can explain a sensorimotor system's ability to compensate for delays during online learning and control.

Abstract: Computational models and methods and systems of using the model to estimate variable time delay in the sensorimotor system of a subject are provided. The computational model can estimate variable time delays in the sensorimotor system, predict sensory states based on delayed sensory feedback, and/or control the system in real time. The subject can be a human or a primate. Simulation experiments can show how the model can explain a sensorimotor system's ability to compensate for delays during online learning and control.

Abstract: To ameliorate the detrimental effects of time delays, techniques and systems are disclosed for detecting time delays in a plant, facility, or environment (such as a power system) controlled by an NCS, and for providing more resilient control capabilities for adapting to the detected time delays. A time delay estimate can be determined by comparing the expected state of the plant, calculated from a plant model, with the state of the plant described by its telemetry data. Techniques for adapting to a time delay include: switching to an emergency controller and acting in accordance with a local reference model; sending adjusted control commands in accordance with an expected plant state; and instructing a transmitter to transmit subsequent communications packets over multiple redundant communication channels.

Abstract: Systems and methods for decoding neural and/or electromyographic signals are provided. A system can include at least one single channel decoder. Optionally, the system can include a demixer in operable communication with the single channel decoders. Each single channel decoder can include a filter to attenuate noise and sharpen spikes in the neural and/or electromyographic signals, a detection function to identify spikes, and a demodulator to get a real-time estimate of motor intent.

Abstract: To ameliorate the detrimental effects of time delays, techniques and systems are disclosed for detecting time delays in a plant, facility, or environment (such as a power system) controlled by an NCS, and for providing more resilient control capabilities for adapting to the detected time delays. A time delay estimate can be determined by comparing the expected state of the plant, calculated from a plant model, with the state of the plant described by its telemetry data. Techniques for adapting to a time delay include: switching to an emergency controller and acting in accordance with a local reference model; sending adjusted control commands in accordance with an expected plant state; and instructing a transmitter to transmit subsequent communications packets over multiple redundant communication channels.

Abstract: Systems and methods to simulate activity that would be recorded using an interface to nerve fibers are provided. Signals, such as motor intent signals, can be converted to neural recordings, such as neural recordings by longitudinal intrafascicular electrodes (LIFEs). Spinal cord motor pools and neural interfaces can be jointly simulated. Realistic simulated neural recordings, such as from electrodes such as LIFEs, can be provided and can be used for the evaluation of decoding algorithms. Systems and methods described herein provide a framework for developing neural interface devices.

Abstract: Systems and methods to simulate activity that would be recorded using an interface to nerve fibers are provided. Signals, such as motor intent signals, can be converted to neural recordings, such as neural recordings by longitudinal intrafascicular electrodes (LIFEs). Spinal cord motor pools and neural interfaces can be jointly simulated. Realistic simulated neural recordings, such as from electrodes such as LIFEs, can be provided and can be used for the evaluation of decoding algorithms. Systems and methods described herein provide a framework for developing neural interface devices.

Abstract: Systems and methods for decoding neural and/or electromyographic signals are provided. A system can include at least one single channel decoder. Optionally, the system can include a demixer in operable communication with the single channel decoders. Each single channel decoder can include a filter to attenuate noise and sharpen spikes in the neural and/or electromyographic signals, a detection function to identify spikes, and a demodulator to get a real-time estimate of motor intent.

Abstract: The present invention relates to a process for the production of ethylene, comprising the following steps of: (a) thermally converting a feed charge containing methane into acetylene as an intermediate, (b) in-situ hydrogenation of the acetylene produced in step (a) into ethylene by a non-catalytic hydrogen transfer mechanism, characterized by (c) recovering heat from hot effluents obtained in step (b) which may be utilized for different purposes.

Abstract: The present invention relates to a process for the production of ethylene, comprising the following steps of: (a) thermally converting a feed charge containing methane into acetylene as an intermediate, (b) in-situ hydrogenation of the acetylene produced in step (a) into ethylene by a non-catalytic hydrogen transfer mechanism, characterized by (c) recovering heat from hot effluents obtained in step (b) which may be utilized for different purposes.