Titlebook: Dynamic Neuroscience; Statistics, Modeling Zhe Chen,Sridevi V. Sarma Book 2018 Springer International Publishing AG 2018 Neural signal proc

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協(xié)定

Brain–Machine Interfacesities, use a decoding algorithm to infer the subject’s intended movement and control a prosthetic device, and provide visual feedback to the subject. Thus BMIs can be viewed as closed-loop control systems. In this chapter, we review the computational components of a BMI and the common decoders used

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Control-Theoretic Approaches for Modeling, Analyzing, and Manipulating Neuronal (In)activityinical neuroscience. This chapter will examine this question through the lens of dynamical systems and control theory. We will survey existing methods and new formalisms to probe and assess the geometry of neural trajectories, i.e., neural activity patterns at multiple spatial scales. In particular,

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Favorable

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Humble

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emulsify

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