Sentence examples for realistic brain from inspiring English sources

Those initial results are interesting because they show the possibility to determine underlying causes of diseases by simulating the biologically realistic brain model.

Introductory chapters by editors Hanson and Olson, along with Terrence Sejnowski, Christof Koch, and Patricia S. Churchland, provide an overview of computational neuroscience, establish the distinction between "realistic" brain models and "simplified" brain models, provide specific examples of each, and explain why each approach might be appropriate in a given context.

It would be interesting to explore this simple model further for more realistic brain like connectivities, along the lines described in [318].

To develop more realistic brain surgery simulator, it is required to introduce blood veins, nervous tissue and connective tissue into the brain model and collision detection which can handle contact with those complex inner structures.

For a random network, the patterns were qualitatively similar as for a more realistic brain network, although the prediction was weaker.

In other words, the combination of in vivo perturbation through neurostimulation, neuroimaging, and realistic brain models provides a computational neurostimulation approach with which to investigate the impact on cognition of physiological mechanisms of neurostimulation-induced effects.

Simulated EEG were generated using a realistic head model representing the brain, the skull and the scalp with a conductivity of each medium fixed to 0.33, 0.0082, and 0.33 S/m, respectively [56].

Anatomy dataset A high resolution T1-weighted anatomical MRI of the same patient was used to segment the surfaces of the brain to obtain a realistic head model.

These networks tend to build cell assemblies, thus providing a brain-theoretical foundation for the formation and existence of "micro-networks" within realistic larger (brain, area) networks (Braitenberg and Schüz 1998; Braitenberg 1978; Palm 1982; Heerden et al. 1970; Wennekers et al. 2006; Garagnani et al. 2009b; Plenz and Thiagarajan 2007; Diesmann et al. 1999).

Recent work by Holmes et al. used a 3D-printed phantom, named subresolution sandwich (SS) phantom, for the generation of realistic SPECT brain images [18].

Adding complexity to our models does not necessarily give us a more realistic picture of brain circuits because we do not know enough about the details of this complexity to model it accurately, and the complexity can obscure the relationships we are trying to grasp.