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Neural Stimulation

Neural stimulation devices are being used to alleviate the symptoms of Parkinson's Disease. Research is underway to investigate whether neural stimulation can also be successfully used to address other neurological conditions such as depression. Deep within the brain, hidden from view, are forms that are the gatekeepers between the spinal cord and the cerebral hemispheres. These forms not just determine our emotional state, they also modify our perceptions and responses depending on that state, and make feasible us to initiate movements that you make without thinking concerning them. Like the lobes in the cerebral hemispheres, the patterns described below come in pairs: each is duplicated in the opposite half of the brain (National Institute of Neurological Disorders and Stroke).

Neuroscience studies the function of neurons and their macro structures - covering the exploration, biochemistry, function and pathology of the nervous system. The Central Nervous System (CNS) includes the brain and the spinal cord. The Peripheral Nervous System (PNS) encompasses the multitude of nerve branches that run from the CNS to all portions of the body and from body extremities back to the CNS. Neuroscience employs investigational machines that consist of the living and computational.

The human brain has billions of neurons, each of which will generally have thousands of synaptic interconnections. Both organic and inorganic neural networks process information using parallel, distributed processing. This is fortunate because a significant bit of our neurons die during the course of our lifetime. Due to the large synergism of our brains, we will likely retrieve memories even when some of neurons that were originally involved in storing those memories are degraded. Massive simultaneity additionally helps humans to recognize patterns despite incomplete data or noise interference.

The human brain uses massively parallel processing. In some respects, it could seem redundant and inefficient to have multiple modules of a processing system work on the same problem. However, huge synergism gives various advantages. When time is of the essence, it can bring heightened resources to bear on processing information rapidly, with less chance of a "bottleneck" holding things up than with strictly separate, serial processing. Also, it rendered greater resiliency against performance degradation in case some regions of the brain are injured or groups of neurons die. Since neurons do not usually regenerate, this resiliency may be a critical factor for functional maintenance and survival.

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