Main description:

Computational Neurostimulation, the latest volume in the Progress in Brain Research series provides an introduction to a nascent field with contributions from leading researchers. In addition, it addresses a very timely and relevant issue which has long been known to require more treatment.

Contents:

Modeling Sequence and Quasi-Uniform Assumption in Computational Neurostimulation
Marom Bikson, Dennis Q. Truong, Antonios P. Mourdoukoutas, Mohamed Aboseria, Niranjan Khadka, Devin Adair and Asif Rahman

Multilevel Computational Models for Predicting the Cellular Effects of Non-Invasive Brain Stimulation
Asif Rahman, Belen Lafon and Marom Bikson

Experiments and Models of Cortical Oscillations as a Target for Non-Invasive Brain Stimulation
Flavio Froehlich

Understanding the Nonlinear Physiological and Behavioral Effects of tDCS Through Computational Neurostimulation
James J. Bonaiuto and Sven Bestmann

Modeling TMS-Induced I-Waves in Human Motor Cortex
Jochen Triesch, Christoph Zrenner and Ulf Ziemann

Deep Brain Stimulation for Neurodegenerative Disease: A Computational Blueprint using Dynamic Causal Modeling
Rosalyn Moran

Model-Based Analysis and Design of Waveforms for Efficient Neural Stimulation
Warren M. Grill

Computational Neurostimulation for Parkinson's Disease
Simon Little and Sven Bestmann

Computational Modelling of Neurostimulation in Brain Diseases
Yujiang Wang, Frances Hutchings and Marcus Kaiser

Understanding the Biophysical Effects of Transcranial Magnetic Stimulation on Brain Tissue: the Bridge between Brain Stimulation and Cognition
Sebastiaan F.W. Neggers, Petar I. Petrov, Stefano Mandija, Iris E.C. Sommer and Nico A.T. van den Berg

Modeling the Effects of Non-Invasive Transcranial Brain Stimulation at the Biophysical, Network and Cognitive Level Gesa Hartwigsen, Til Ole Bergmann, Damian Marc Herz, Steffen Angstmann, Anke Karabanov, Estelle Raffin, Axel Thielscher and Hartwig Roman Siebner