- Part of a well-established international series that examines major areas of basic and clinical research within neuroscience, as well as emerging subfields
- Provides an introduction to a nascent field with contributions from leading researchers
Volume Editor: Sven Bestmann
Dr Bestmann´s research interests are centered around action control, and how our brain makes decisions that ultimately lead to controlled movements. He has approached this question using a combination of different research techniques with complementary strengths, including functional neuroimaging, electrophysiology, psychophysics, computational modeling, pharmacology, and neurostimulation.
One prominent research activity throughout his career has been the use of interventional approaches to study brain-behaviour relationships. He has a long-standing interest in using non-invasive brain stimulation, and its combination with complementary research approaches such as functional neuroimaging. Recently, the research interest has included the use of computational models to understand the specific processes targeted by various neurostimulation techniques. He has recently coined the term computational neurostimulation, to describe this approach of using computational modeling to study the behavioural consequences of non-invasive brain stimulation.
He is a Reader in Motor Neuroscience at the Sobell Department, UCL. His research has been supported by major funding sources, such as the European Research Council, the Biotechnology and Biological Sciences Research Council (BBSRC), and Wellcome Trust. He is a Board member and Chair of Life Science domain of the Young Academy of Europe.
This latest volume in the Progress in Brain Research series explores novel ways to develop appropriate models that help mapping the physiological impact of stimulation onto its behavioral consequences.
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.
- 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 Fröhlich
- 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
