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T029 Where do we stimulate M1? A combined neurophysiological and modelling approach

Clinical neurophysiology, 2017-03, Vol.128 (3), p.e8-e9

Thielscher, A

2017

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How biophysical models can help to reveal the mechanisms underlying motor cortex stimulation by TMS

Brain stimulation, 2017-03, Vol.10 (2), p.400-400

Thielscher, A

2017

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IS 3. TMS field modelling-status and next steps

Clinical neurophysiology, 2013-10, Vol.124 (10), p.e40-e40

Thielscher, A

2013

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Effects of transcranial magnetic stimulation on visual evoked potentials in a visual suppression task

NeuroImage (Orlando, Fla.), 2011-01, Vol.54 (2), p.1375-1384

2011

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The Cortical Site of Visual Suppression by Transcranial Magnetic Stimulation

Cerebral cortex (New York, N.Y. 1991), 2010-02, Vol.20 (2), p.328-338

2010

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P080 Fundamental limitations of focal transcranial weak current stimulation

Clinical neurophysiology, 2017-03, Vol.128 (3), p.e45-e46

2017

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Allocation in Practice

KI 2014: Advances in Artificial Intelligence, p.13-24

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Calculating and measuring the current flow to improve spatial targeting during TACS

International journal of psychophysiology, 2018-10, Vol.131, p.S56-S57

Thielscher, A.

2018

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P146 Sulcus-based linear mapping of sensorimotor integration in the hand motor area

Clinical neurophysiology, 2017-03, Vol.128 (3), p.e87-e87

2017

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P652: Where do we stimulate with tDCS? Anatomical determinants of the electric field during transcranial direct current stimulation

Clinical neurophysiology, 2014-06, Vol.125, p.S227-S228

2014

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A Stream-Temporal Query Language for Ontology Based Data Access

KI 2014: Advances in Artificial Intelligence, p.183-194

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Determining the cortical target of transcranial magnetic stimulation

NeuroImage (Orlando, Fla.), 2009-10, Vol.47 (4), p.1319-1330

2009

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Connectivity between Right Inferior Frontal Gyrus and Supplementary Motor Area Predicts After-Effects of Right Frontal Cathodal tDCS on Picture Naming Speed

Brain stimulation, 2014, Vol.7 (1), p.122-129

2014

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Comparing the results of field modelling to physiological measurements and MR-based current flow measurements

Brain stimulation, 2019-03, Vol.12 (2), p.463-463

Thielscher, A.

2019

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Energy-Efficient Routing: Taking Speed into Account

KI 2014: Advances in Artificial Intelligence, p.86-97

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P097 Direct measurement of electric fields in human and monkeys during transcranial electric stimulation

Clinical neurophysiology, 2017-03, Vol.128 (3), p.e57-e59

2017

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Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

KI 2014: Advances in Artificial Intelligence, p.80-85

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Towards a Trace Index Based Workflow Similarity Function

KI 2014: Advances in Artificial Intelligence, p.225-230

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Texture segmentation in human perception: A combined modeling and fMRI study

Neuroscience, 2008-02, Vol.151 (3), p.730-736

2008

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Multi-stage Constraint Surrogate Models for Evolution Strategies

KI 2014: Advances in Artificial Intelligence, p.255-266

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Neural mechanisms of cortico–cortical interaction in texture boundary detection: a modeling approach

Neuroscience, 2003, Vol.122 (4), p.921-939

2003

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Monte-Carlo Tree Search for 3D Packing with Object Orientation

KI 2014: Advances in Artificial Intelligence, p.285-296

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Applying electric field modeling to TMS motor mapping

Neurophysiologie clinique, 2013-01, Vol.43 (1), p.78-79

2013

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A More Compact Translation of Pseudo-Boolean Constraints into CNF Such That Generalized Arc Consistency Is Maintained

KI 2014: Advances in Artificial Intelligence, p.123-134

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P04.58 A new computational method for comprehensive estimation of anti tumor efficacy of tumor treating fields (TTFields). Accounting for field intensity, exposure time and unwanted spatial field correlation

Neuro-oncology (Charlottesville, Va.), 2018-09, Vol.20 (suppl_3), p.iii292-iii293

2018

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T029 Where do we stimulate M1? A combined neurophysiological and modelling approach

How biophysical models can help to reveal the mechanisms underlying motor cortex stimulation by TMS

IS 3. TMS field modelling-status and next steps

Effects of transcranial magnetic stimulation on visual evoked potentials in a visual suppression task

The Cortical Site of Visual Suppression by Transcranial Magnetic Stimulation

P080 Fundamental limitations of focal transcranial weak current stimulation

Allocation in Practice

Calculating and measuring the current flow to improve spatial targeting during TACS

P146 Sulcus-based linear mapping of sensorimotor integration in the hand motor area

P652: Where do we stimulate with tDCS? Anatomical determinants of the electric field during transcranial direct current stimulation

A Stream-Temporal Query Language for Ontology Based Data Access

Determining the cortical target of transcranial magnetic stimulation

Connectivity between Right Inferior Frontal Gyrus and Supplementary Motor Area Predicts After-Effects of Right Frontal Cathodal tDCS on Picture Naming Speed

Comparing the results of field modelling to physiological measurements and MR-based current flow measurements

Energy-Efficient Routing: Taking Speed into Account

P097 Direct measurement of electric fields in human and monkeys during transcranial electric stimulation

Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

Towards a Trace Index Based Workflow Similarity Function

Texture segmentation in human perception: A combined modeling and fMRI study

Multi-stage Constraint Surrogate Models for Evolution Strategies

Neural mechanisms of cortico–cortical interaction in texture boundary detection: a modeling approach

Monte-Carlo Tree Search for 3D Packing with Object Orientation

Applying electric field modeling to TMS motor mapping

A More Compact Translation of Pseudo-Boolean Constraints into CNF Such That Generalized Arc Consistency Is Maintained

P04.58 A new computational method for comprehensive estimation of anti tumor efficacy of tumor treating fields (TTFields). Accounting for field intensity, exposure time and unwanted spatial field correlation

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