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. 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
Computational models have helped understanding neurostimulation in the brain in complex neurological disorders including Parkinson's disease (PD), epilepsy, and migraine. Deep brain stimulation (DBS) is applied to control brain ...
Anxiety sensitivity and interoceptive exposure: A transdiagnostic construct and change strategy. Behavior Therapy, 44(3), 417–31. doi:10.1016/ j.beth.2013.03.006 Brown, T.A. (2007). Temporal course and structural relationships among ...
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience.
COMPUTATIONAL NEUROSTIMULATION Where does this ... influence cortical function to enhance processing, and, second, the use of computational modeling to describe the network consequences of stimulation (“computational neurostimulation”).
... Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation Jean-Marc Fellous1,2, Guillermo Sapiro3, Andrew Rossi4, Helen Mayberg5 and Michele Ferrante1,6* 1 Theoretical and Computational Neuroscience Program, ...
This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in São João Del-Rei, Brazil, in September 2019.
... Computational neurostimulation, 631 Computer-aided design (CAD) generated models, 234, 235 Contemporary tDCS, 228 Contingency management, 389 Continuous wave (CW), 306 Conventional tDCS, 13–15, 227, 228 Co-participation, ...
Artificial Intelligence and Soft Computing. ... M.: Chapter 2 - Multilevel computational models for predicting the cellular effects of noninvasive brain stimulation. ... Computational Neurostimulation, Progress in Brain Research, vol.
M. Bikson, D.Q. Truong, A.P. Mourdoukoutas, M. Aboseria, N. Khadka, D. Adair, A. Rahman, Modeling sequence and quasi-uniform assumption in computational neurostimulation. Prog. Brain Res. 222, 1–23 (2015) 68. K.-A. Ho, J.L. Taylor, ...
In Changing Connectomes, Marcus Kaiser provides an up-to-date overview of the field of connectomics and introduces concepts and mechanisms underlying brain network changes during evolution and development.