Computational Models of Neuromodulation

Computational models of neuromodulation.

As neuromodulation therapy has grown, so has the recognition that computational models can provide important insights into the design, operation, and clinical application of neurostimulation systems. Models of deep brain stimulation and spinal cord stimulation have advanced over recent decades from simple, stereotyped models to sophisticated patient-specific models that can incorporate many imp...

Computational Models of Neuromodulation

Computational Models of Neuromodulation

Computational modeling of neural substrates provides an excellent theoretical framework for the understanding of the computational roles of neuromodulation. In this review, we illustrate, with a large number of modeling studies, the specific computations performed by neuromodulation in the context of various neural models of invertebrate and vertebrate preparations. We base our characterization...

Neuromodulation for Depression: Insights Gained from Neuroimaging and Computational Models

NEUROMODULATION FOR DEPRESSION: INSIGHTS GAINED FROM NEUROIMAGING AND COMPUTATIONAL MODELS Yagna Pathak, B.S., M.Eng. Marquette University, 2014 Major depressive disorder (MDD) is a public health concern worldwide, affecting a sixth of the American population. Neuromodulation therapies have been employed to treat severe cases of treatment resistant depression. These procedures attempt to modula...

Twenty-Five Lessons from Computational Neuromodulation

Neural processing faces three rather different, and perniciously tied, communication problems. First, computation is radically distributed, yet point-to-point interconnections are limited. Second, the bulk of these connections are semantically uniform, lacking differentiation at their targets that could tag particular sorts of information. Third, the brain's structure is relatively fixed, and y...