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Advances in methods for signal processing, network analysis, dimensionality reduction, and optimal control — developed in lockstep with advances in experimental neurotechnology — promise major breakthroughs in multiple fundamental neuroscience problems.
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Mr. McGovern, asked if he had one pet neuroscience problem he would like to see solved, said it would probably be the causes of misperception: why the brain takes in or remembers things incorrectly.
However, unlike in the architecture of palaces where the shapes and capitals of columns are well defined, in neuroscience the problems start with the definition and delineation of columns.
The problem of integrating data from various sources is not unique to the health sciences, but in an interdisciplinary field such as computational neuroscience, the problem becomes even more acute.
Note that, in neuroscience, plug-in problems have already been emphasized for other types of tests, namely the independence tests [22].
Because a fundamental feature of many neuroscience data analysis problems is that, the underlying neural system is dynamic and is observed indirectly through measurements from one or a combination of these different recording modalities, the state space paradigm provides an ideal framework for developing statistical tools to analyze neural data.
In "Neuro," Rose and Abi-Rached see the real problem: neuroscience can often answer the obvious questions but rarely the interesting ones.
A question asked frequently in motor neuroscience surrounds the problem of the existence of a stable reference frame used to control posture and voluntary movement [1], [2].
He had been thinking about one of the most vexing problems in neuroscience: how to create a detailed image of all the brain's neurons and their interconnections.
Darpa's goal would require solving several longstanding problems in neuroscience, one of which is to develop a detailed model of how injuries or illnesses like depression manifest themselves in the systems of the brain.
Understanding how the brain achieves this is one of the most fascinating and challenging problems in neuroscience.
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