Control neural

Fernandez-Ruiz J, Romero J, Velasco G, Tolon RM, Ramos JA, Guzman M, Cannabinoid CB2 receptor A new target for controlling neural cell survival Trends Pharmacol Sci 28 39 5, 2007. 

The intestinal phase, which occurs as chyme enters the duodenum. This involves many inhibitory controls neural and endocrine mechanisms limit the rate of stomach emptying so that the secretory and absorptive mechanisms of the small intestine can cope effectively with the entry of gastric contents. 

Panchision DM, Pickel JM, Studer L, Lee SH, Turner PA, Hazel TG, Mckay RD (2001) Sequential actions of BMP receptors control neural precursor cell production and fate. Genes Dev 15 2094— 2110. 

Werbos, P. (1995), Neurocontrol and Supervised Learning An Overview and Evaluation, in Handbook of Intelligent Control Neural, Fuzzy, and Adaptive Approaches, Van Nostrand Reinhold,... 

Levin, E., Gewirtzman, R., and Inbar, G.E. 1991. Neural network architecture for adaptive system modeling and control. Neural Networks, 4 185-191. 

Davis, R. International Functional Electrical Stimulation Society the development of controlled neural prostheses for functional restoration. Neuromod, 2000 3 1-5. 

Keller, T., Curt, A. et al.. Grasping in high lesioned tetraplegic subjects using the EMG controlled neural prosthesis,/. NeuroRehab. 10 251-255,1998. 

Tremendous efforts have been invested in developing theories, simulations, and hardware implementations for machinery control. Modern control ap>-proaches include adaptive control, neural networks and probabilistic control, to name only a few. However, the intelligence features that the adap)-tronic materials community is trying to create have constraints that the engineering world has never experienced before, but that the biological world seems to accept with simplicity and grace. Namely, the tremendous number of sensors, actuators, and their associated power sources compels us to supersede the conventional central processor architecture whereby every piece of sensor and actuator information must be stored and manipulated electronically. 

C., Navabi, Z. (2009). Real-time embedded emotional controller. Neural Computing Applications, 79(1). doi doi 10.1007/s00521-008-0227-x... 

A multichannel neural-recording system is used in neuroscience experiments to study complex neural networks of animals in their natural environments [130]. It is also a critical component in brain-computer interface used for cortical-controlled neural prosthetics, which has a wide range of applications such as upper and lower limb prostheses [131-134], bladder and bowel movement control for spinal cord injury (SCI) patients [135-136], respiration control for SCI patients [137], and hand grasping function restoration [138]. 

For advanced techniques in modeling, identification, and control, MATLAB has a variety of additional toolboxes that are licensed individually. Relevant toolboxes for process control include control system, fuzzy logic, system identification, model predictive control, neural networks, optimization, partial differential equations, robust control, and statistics. 

Restoring mobility to people with severe disabilities is another area of research. A wheelchair that could be controlled neurally could provide a degree of freedom and greatly improve the quality of life for locked-in people. Researchers are exploring virtual navigation tasks, such as virtual driving and a virtual apartment, as well as maze navigation (Bayliss and Ballard, 2000 Bir-baumer et al., 2000). 

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